Adult refugees' perspectives on the impact of trauma and post-migration hardships on learning.

Background: Research shows that adult refugees' well-being and future in the reception country heavily depend on successfully learning the host language. However, we know little about how adult learners from refugee backgrounds experience the impact of trauma and adversity on their learning.Objective: The current study aims to investigate the perspectives of adult refugee learners on whether and how trauma and other adversity affect their learning.Methods: We conducted in-depth interviews with 22 adult refugees (10 women) attending the Norwegian Introduction Programme (NIP). The participants came from six Middle Eastern, Central Asian, and African countries. Two questionnaires were included, one about past stressful life events (SLESQ-Revised), and one about mental health symptoms and current psychological distress following potentially traumatic experiences (PCL-5).Results: Participants held varying beliefs about trauma's impact on learning: that it had a constant impact, that it was situational, or that it had no impact. Other aspects they brought up as having an essential effect on learning and school attendance include psychological burdens from past and present school experiences, and post-migration hardships such as loneliness, depression, ongoing violence, and negative social control. Post-migration trauma and hardships exacerbated the burden of previous trauma and were frequently associated with a greater negative influence on learning.Conclusion: This study adds new insights from adult refugee learners themselves into how post-migration hardships as well as trauma can impact their learning, and the importance of recognising their struggles. A safe space is required for refugees to open up about their difficulties in life and with learning. This knowledge can be used to enhance teaching practices, foster better teacher-student relationships, and inform policy-making decisions, ultimately benefiting both individuals and society.

Adult refugee learners' own perspectives on the impact of trauma on learning varied from constant to situational to no impact at all.Other factors identified as impacting learning and school attendance included, amongst others, psychological burdens from past and present school experiences, ongoing violence, forced family separation, and negative social control.Post-migration trauma and hardships were frequently associated with a greater negative influence on learning than the burden of previous trauma.

Fortaleciendo la experticia adaptativa en la educación quirúrgica: un enfoque integral y estratégico / Strengthening adaptive expertise in surgical education: A comprehensive and strategic approach

Introducción. La formación integral de los residentes excede el conocimiento teórico y la técnica operatoria. Frente a la complejidad de la cirugía moderna, su incertidumbre y dinamismo, es necesario redefinir la comprensión de la educación quirúrgica y promover capacidades adaptativas en los futuros cirujanos para manejar efectivamente el entorno. Estos aspectos se refieren a la experticia adaptativa. Métodos. La presente revisión narrativa propone una definición de la educación quirúrgica con énfasis en la experticia adaptativa, y un enfoque para su adopción en la práctica. Resultados. Con base en la literatura disponible, la educación quirúrgica representa un proceso dinámico que se sitúa en la intersección de la complejidad de la cultura quirúrgica, del aprendizaje en el sitio de trabajo y de la calidad en el cuidado de la salud, dirigido a la formación de capacidades cognitivas, manuales y adaptativas en el futuro cirujano, que le permitan proveer cuidado de alto valor en un sistema de trabajo colectivo, mientras se fortalece su identidad profesional. La experticia adaptativa del residente es una capacidad fundamental para maximizar su desempeño frente a estas características de la educación quirúrgica. En la literatura disponible se encuentran seis estrategias para fortalecer esta capacidad. Conclusión. La experticia adaptativa es una capacidad esperada y necesaria en el médico residente de cirugía, para hacer frente a la complejidad de la educación quirúrgica. Existen estrategias prácticas que pueden ayudar a fortalecerla, las cuales deben ser evaluadas en nuevos estudios.

Introduction. The comprehensive training of residents exceeds theoretical knowledge and operative technique. Faced with the complexity of modern surgery, its uncertainty and dynamism, it is necessary to redefine the understanding of surgical education and promote adaptive capabilities in future surgeons for the effective management of the environment. These aspects refer to adaptive expertise. Methods. The present narrative review proposes a definition of surgical education with an emphasis on adaptive expertise, and an approach for its adoption in practice. Results. Based on the available literature, surgical education represents a dynamic process that is situated at the intersection of the complexity of surgical culture, learning in the workplace, and quality in health care, aimed at training of cognitive, manual, and adaptive capacities in the future surgeon, which allow them to provide high-value care in a collective work system, while strengthening their professional identity. Resident's adaptive expertise is a fundamental capacity to maximize his or her performance in the face of these characteristics of surgical education. In the available literature there are six strategies to strengthen this capacity. Conclusion. Adaptive expertise is an expected and necessary capacity in the surgical resident to deal with the complexity of surgical education. There are practical strategies that can help strengthen it, which must be evaluated in new studies.

Approaching artificial intelligence to Hospital Pharmacy. / Acercando la inteligencia artificial a los servicios de farmacia hospitalaria.

Artificial intelligence (AI) is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the intervention of human intelligence. By exploiting large volumes of healthcare data, artificial intelligence algorithms can identify patterns and predict outcomes, which can help healthcare organizations and their professionals make better decisions and achieve better results. Machine learning, deep learning, neural networks or natural language processing are among the most important methods, allowing systems to learn and improve from data without the need for explicit programming. AI has been introduced in biomedicine, accelerating processes, improving safety and efficiency, and improving patient care. By using AI algorithms and Machine Learning, hospital pharmacists can analyze a large volume of patient data, including medical records, laboratory results, and medication profiles, aiding them in identifying potential drug-drug interactions, assessing the safety and efficacy of medicines, and making informed recommendations. AI integration will improve the quality of pharmaceutical care, optimize processes, promote research, deploy open innovation, and facilitate education. Hospital pharmacists who master AI will play a crucial role in this transformation.

[Translated article] Introducing artificial intelligence to hospital pharmacy departments.

Artificial intelligence is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the intervention of human intelligence. By exploiting large volumes of healthcare data, Artificial intelligence algorithms can identify patterns and predict outcomes, which can help healthcare organizations and their professionals make better decisions and achieve better results. Machine learning, deep learning, neural networks, or natural language processing are among the most important methods, allowing systems to learn and improve from data without the need for explicit programming. Artificial intelligence has been introduced in biomedicine, accelerating processes, improving accuracy and efficiency, and improving patient care. By using Artificial intelligence algorithms and machine learning, hospital pharmacists can analyze a large volume of patient data, including medical records, laboratory results, and medication profiles, aiding them in identifying potential drug-drug interactions, assessing the safety and efficacy of medicines, and making informed recommendations. Artificial intelligence integration will improve the quality of pharmaceutical care, optimize processes, promote research, deploy open innovation, and facilitate education. Hospital pharmacists who master Artificial intelligence will play a crucial role in this transformation.

Las redes académicas y la interdisciplinariedad en el proceso pedagógico de posgrado

Introducción: Las redes académicas adquieren elevada significación para la gestión colaborativa de la interdisciplinariedad en la educación de posgrado, de ahí que se suscite el análisis, para su optimización, en el proceso pedagógico de posgrado. El objetivo del presente estudio consistió en revelar criterios teórico-metodológicos para el empleo de las redes académicas en función de la interdisciplinariedad en la educación de posgrado. Métodos: Investigación cualitativa, comprendida entre noviembre de 2022 a septiembre de 2023. Incluyó el empleo de métodos teóricos como el análisis y síntesis, el histórico y lógico, la sistematización y la modelación. Entre los métodos empíricos se aplicó la revisión de documentos y la consulta a especialistas. También se empleó el análisis porcentual para procesar datos. Resultados: Se revelan criterios teórico-metodológicos que fundamentan el empleo de redes académicas en el posgrado, al considerar elementos asociados a la interdisciplinariedad, el trabajo colaborativo, las relaciones interprofesionales e intersectoriales y las alianzas interinstitucionales, a partir de las exigencias de ese nivel educacional. Este resultado es ampliamente generalizable al diseño y gestión de programas de posgrado en sus dos vertientes: superación profesional y formación académica. Discusión: Investigaciones precedentes evidencian un consenso sobre las potencialidades de las redes académicas para el desarrollo del aprendizaje colaborativo, la gestión de proyectos y la práctica interdisciplinaria. Los resultados de este estudio optimizan su empleo en el proceso pedagógico de posgrado. Los criterios teórico-metodológicos revelados en el presente trabajo, tienen un enfoque holístico con elevada pertinencia, según criterios valorativos de los especialistas que participaron en el estudio.

Introduction: Academic networks acquire high significance for the collaborative management of interdisciplinarity in postgraduate education, hence the analysis arises, for its optimization, in the postgraduate pedagogical process. The objective of this study was to reveal theoretical-methodological criteria for the use of academic networks based on interdisciplinarity in postgraduate education. Methods: Qualitative research, between november 2022 and september 2023. It included the use of theoretical methods such as analysis and synthesis, historical and logical, systematization and modeling. Among the empirical methods, document review and consultation with specialists were applied. Percentage analysis was also used to process data. Results: Theoretical-methodological criteria are revealed that support the use of academic networks in postgraduate studies, when considering elements associated with interdisciplinarity, collaborative work, interprofessional and intersectoral relationships and inter-institutional alliances, based on the demands of that educational level. This result is widely generalizable to the design and management of postgraduate programs in its two aspects: professional development and academic training. Discussion: Previous research shows a consensus on the potential of academic networks for the development of collaborative learning, project management and interdisciplinary practice. The results of this study optimize its use in the postgraduate pedagogical process. The theoretical-methodological criteria revealed in this work have a holistic approach with high relevance, according to the evaluation criteria of the specialists who participated in the study.

Actividades recreativas inclusivas en la clase de Educación Física, para estudiantes con trastorno de lateralidad

En la Educación Física la lateralidad motriz se debe desarrollar a temprana edad. El objetivo de esta investigación fue analizar de manera integral la lateralidad de estudiantes de décimo año en la clase de Educación Física, a partir de sus necesidades y percepciones, para el diseño de actividades recreativas inclusivas que aborden trastornos de lateralidad. El estudio fue de tipo explicativo y corte transversal con un enfoque mixto y se desarrolló en ocho instituciones educativas particulares de la ciudad de Quito. Se seleccionaron 14 docentes para la entrevista y se evaluaron, con el test validado de Harris, a 688 estudiantes de décimo año, se identificó a 40 de ellos con trastorno de lateralidad, y se les aplicó una encuesta, con lo que se pudo diseñar una propuesta de intervención de actividades recreativas inclusivas que aborden este trastorno. Los datos se analizaron en Excel, luego de haber aplicado una escala de Likert en la encuesta, para comprender las experiencias, percepciones y adaptaciones en profundidad. Esta investigación arroja luz sobre la importancia de considerar la lateralidad en el diseño de actividades recreativas inclusivas, además se evidenció que la adaptación curricular y la personalización son claves para atender las necesidades específicas de estos estudiantes.

Na Educação Física a lateralidade motora deve ser desenvolvida desde cedo. O objetivo desta pesquisa foi analisar de forma abrangente a lateralidade dos alunos do décimo ano das aulas de Educação Física, a partir de suas necessidades e percepções, para o desenho de atividades lúdicas inclusivas que abordem os transtornos de lateralidade. O estudo foi explicativo e transversal com abordagem mista e foi desenvolvido em oito instituições de ensino privadas da cidade de Quito. Foram selecionados 14 professores para a entrevista e 688 alunos do décimo ano foram avaliados com o teste de Harris validado, 40 deles foram identificados com transtorno de lateralidade, e foi aplicado um questionário a eles, para que fosse apresentada uma proposta de intervenção para atividades lúdicas inclusivas que abordassem esse assunto; transtorno. Os dados foram analisados ​​em Excel, após aplicação de escala Likert na pesquisa, para compreender em profundidade as experiências, percepções e adaptações. Esta pesquisa esclarece a importância de considerar a lateralidade na concepção de atividades recreativas inclusivas. Também mostrou que a adaptação curricular e a personalização são fundamentais para atender às necessidades específicas desses alunos.

In Physical Education, motor laterality must be developed at an early age. The objective of this research was to comprehensively analyze the laterality of tenth-year students in Physical Education class, based on their needs and perceptions, for the design of inclusive recreational activities that address laterality disorders. The study was explanatory and cross-sectional with a mixed approach and was developed in eight private educational institutions in the city of Quito. 14 teachers were selected for the interview and 688 tenth-grade students were evaluated with the validated Harris test; 40 of them were identified with laterality disorder, and a survey was applied to them, so that an intervention proposal for inclusive recreational activities that address this disorder. The data was analyzed in Excel, after having applied a Likert scale in the survey, to understand the experiences, perceptions and adaptations in depth. This research sheds light on the importance of considering laterality in the design of inclusive recreational activities. It also showed that curricular adaptation and personalization are key to addressing the specific needs of these students.

Conocimiento de la Comprensión de los Estudiantes sobre la Anatomía Macroscópica Humana / Knowledge of Students' Understanding of Human Gross Anatomy

El propósito de esta investigación fue comprender las dificultades y necesidades para el aprendizaje de las ideas principales de la Anatomía Macroscópica Humana AMH. Se investigó un grupo de 90 estudiantes de segundo semestre del programa académico de Medicina y Cirugía de una Universidad pública, quienes se encontraban cursando la asignatura de Anatomía Macroscópica Humana I, para ello se tuvo en cuenta el modelo del conocimiento pedagógico del contenido PCK que incluye el conocimiento de los estudiantes, de su comprensión de la AMH, se realizó una observación participante de las clases teóricas y prácticas durante 16 semanas, llevando a cabo los registros de la observación en diario de campo y se obtuvo material audiovisual. Posteriormente se elaboró un índice analítico, se transcribió la información, todos los documentos fueron analizados por medio del software para análisis ATLAS.ti. Se encontraron aspectos de la enseñanza que dificultan el aprendizaje, como son la metodología de enseñanza, la gran cantidad de contenido abordado en la asignatura, la dificultad en la comprensión de las descripciones y complejidad de la ubicación espacial de las piezas anatómicas, la dificultad para encontrar una metodología de estudio apropiada y la falta de concentración durante las clases. El comprender la complejidad del proceso de aprendizaje puede favorecer la planeación y desarrollo de la enseñanza y la evaluación.

SUMMARY: The purpose of this research was to understand the difficulties and needs for learning the main ideas of Human Macroscopic Anatomy AMH. A group of 90 students from the second semester of the academic program of Medicine and Surgery of a public University were investigated, who were studying the subject of Human Macroscopic Anatomy I, for this the model of pedagogical knowledge of the PCK content that includes the knowledge of the students, their understanding of the AMH, a participant observation of the theoretical and practical classes was carried out for 16 weeks, keeping records of the observation in a field diary, and audiovisual material was obtained. Subsequently, an analytical index was prepared, the information was transcribed, all documents were analyzed using the ATLAS.ti analysis software. Aspects of teaching that hinder learning were found, such as the teaching methodology, the great amount of content addressed in the subject, the difficulty in understanding the descriptions and complexity of the spatial location of the anatomical pieces, the difficulty in finding an appropriate study methodology and the lack of concentration during classes. Understanding the complexity of the learning process can favor the planning and development of teaching and assessment.

Machine Learning Algorithms for Sex Classification by Using Variables of Orbital Structures: A Computed Tomography Study / Algoritmos de Aprendizaje Automático para la Clasificación del Sexo Mediante el Uso de Variables de Estructuras Orbitales: Un Estudio de Tomografía Computarizada

SUMMARY: Since machine learning algorithms give more reliable results, they have been used in the field of health in recent years. The orbital variables give very successful results in classifying sex correctly. This research has focused on sex determination using certain variables obtained from the orbital images of the computerized tomography (CT) by using machine learning algorithms (ML). In this study 12 variables determined on 600 orbital images of 300 individuals (150 men and 150 women) were tested with different ML. Decision tree (DT), K-Nearest Neighbour (KNN), Logistic Regression (LR), Random Forest (RF), Linear Discriminant Analysis (LDA), and Naive Bayes (NB) algorithms of ML were used for unsupervised learning. Statistical analyses of the variables were conducted with Minitab® 21.2 (64-bit) program. ACC rate of NB, DT, KNN, and LR algorithms was found as % 83 while the ACC rate of LDA and RFC algorithms was determined as % 85. According to Shap analysis, the variable with the highest degree of effect was found as BOW. The study has determined the sex with high accuracy at the ratios of 0.83 and 0.85 through using the variables of the orbital CT images, and the related morphometric data of the population under question was acquired, emphasizing the racial variation.

Dado que los algoritmos de aprendizaje automático dan resultados más fiables, en los últimos años han sido utilizados en el campo de la salud. Las variables orbitales dan resultados muy exitosos a la hora de clasificar correctamente el sexo. Esta investigación se ha centrado en la determinación del sexo utilizando determinadas variables obtenidas a partir de las imágenes orbitales de la tomografía computarizada (TC) mediante el uso de algoritmos de aprendizaje automático (AA). En este estudio se probaron 12 variables determinadas en 600 imágenes orbitales de 300 individuos (150 hombres y 150 mujeres) con diferentes AA. Se utilizaron algoritmos de AA de árbol de decisión (DT), K-Nearest Neighbour, regresión logística (RL), Random Forest (RF), análisis discriminante lineal (ADL) y Naive Bayes (NB) para el aprendizaje no supervisado. Los análisis estadísticos de las variables se realizaron con el programa Minitab® 21.2 (64 bits). La tasa de ACC de los algoritmos NB, DT, KNN y RL se encontró en % 83, mientras que la tasa de ACC de los algoritmos ADL y RFC se determinó en % 85. Según el análisis de Sharp, la variable con el mayor grado de efecto se encontró como BOW. El estudio determinó el sexo con alta precisión en las proporciones de 0,83 y 0,85 mediante el uso de las variables de las imágenes de TC orbitales, y se adquirieron los datos morfométricos relacionados de la población en cuestión, enfatizando la variación racial.

Evaluación del ambiente educacional en las residencias del Hospital del Niño Dr. José Renán Esquivel de Panamá, 2023

Objetivo Evaluar el ambiente de aprendizaje, del programa de formación de posgrado en pediatría y subespecialidades del Hospital del Niño Dr. José Renán Esquivel utilizando el cuestionario Postgraduate Hospital Educational Environment Measure (PHEEM). Método Estudio observacional, analítico, trans­versal. Resultados: Se aplicó el cuestionario a 46 (94%) de los 49 sujetos elegibles, 36 (78.2%) del sexo femenino. La edad promedio de los sujetos fue de 30.4 años ± 2.28 años con una mínima de 24 años y máxima de 34 años. Cuatro (8.6%) corresponden a residentes de primer año, 25 (54%) de segundo año, 9 (19%) de tercer año y 8 (17%) residentes de cuarto y quinto año. El resultado global del cuestionario fue de 97.80± 17.76 que indica un ambiente educacional más positivo que negativo con espacio para mejorar. El dominio de percepción de autonomía resultó en 35.58 ± 6.34 indicando una percepción más positiva del trabajo de cada uno, para percepción de la calidad de enseñanza fue de 36.84 ±7.89 indicando que está encaminado en la dirección correcta. La percepción de respaldo social fue de 25.36 ± 5.10 con más pros que contras. Se obtuvo una diferencia estadísticamente significativa según el año de residencia tanto en el global (p= 0.0003), autonomía (p= 0.0164), enseñanza (p= 0.001) y apoyo social (p= 0.0128), con resultados mayores en el grupo de residentes de 4to y 5to año. No hubo diferencias significativas según universidad de procedencia, centro de internado ni según sexo. Conclusiones: El PHEEM es un instrumento confiable y fácil de administrar, permite valorar el ambiente educacional en el que se desarrolla un programa de entrenamiento en un contexto asistencial. (provided by Infomedic Intl)

Objective To evaluate the learning environment of the postgraduate training program in pediatrics and subspecialties of the Hospital del Niño Dr. José Renán Esquivel using the Postgraduate Hospital Educational Environment Measure (PHEEM) questionnaire. Method: Observational, analytical, cross-sectional study. Results: The questionnaire was applied to 46 (94%) of the 49 eligible subjects, 36 (78.2%) of whom were female. The mean age of the subjects was 30.4 years ± 2.28 years with a minimum of 24 years and a maximum of 34 years. Four (8.6%) corresponded to first year residents, 25 (54%) to second year residents, 9 (19%) to third year residents and 8 (17%) to fourth and fifth year residents. The overall result of the questionnaire was 97.80± 17.76 indicating a more positive than negative educational environment with room for improvement. The domain of perception of autonomy was 35.58 ± 6.34 indicating a more positive perception of one's work, for perception of teaching quality it was 36.84 ±7.89 indicating that it is heading in the right direction. The perception of social support was 25.36 ± 5.10 with more pros than cons. A statistically significant difference was obtained according to the year of residency in global (p= 0.0003), autonomy (p= 0.0164), teaching (p= 0.001) and social support (p= 0.0128), with higher results in the group of 4th and 5th year residents. There were no significant differences according to university of origin, internship center or gender. Conclusions: The PHEEM is a reliable and easy-to-administer instrument, it allows us to assess the educational environment in which a training program is developed in a healthcare context.  (provided by Infomedic Intl)

Exogenous glucocorticoids to improve extinction learning for post-traumatic stress disorder patients with hypothalamic-pituitary-adrenal-axis dysregulation: a study protocol description.

Background: Trauma-focused treatments for post-traumatic stress disorder (PTSD) are effective for many patients. However, relapse may occur when acquired extinction memories fail to generalize beyond treatment contexts. A subgroup of PTSD patients - potentially with substantial exposure to early-life adversity (ELA) - show dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, which results in lower cortisol levels. Glucocorticoids, including cortisol, appear to facilitate strength and generalization of emotional memories.Objective: We describe the protocol of an integrated PTSD study. We investigate (A) associations between HPA-axis dysregulation, ELA, epigenetic markers, and PTSD treatment outcome (observational study); and (B) effects of exogenous glucocorticoids on strength and generalization of extinction memories and associated neural mechanisms [pharmacological intervention study with functional magnetic resonance imaging (fMRI)]. The objective is to provide proof of concept that PTSD patients with HPA-axis dysregulation often experienced ELA and may show improved strength and generalization of extinction learning after glucocorticoid administration.Method: The observational study (n = 160 PTSD group, n = 30 control group) assesses ELA, follow-up PTSD symptoms, epigenetic markers, and HPA-axis characteristics (salivary cortisol levels during low-dose dexamethasone suppression test and socially evaluated cold-pressor test). The pharmacological intervention study (n = 80 PTSD group, with and without HPA-axis dysregulation) is a placebo-controlled fMRI study with a crossover design. To investigate strength and generalization of extinction memories, we use a differential fear acquisition, extinction, and extinction recall task with spatial contexts within a virtual environment. Prior to extinction learning, 20 mg hydrocortisone or placebo is administered. During next-day recall, strength of the extinction memory is determined by recovery of skin conductance and pupil dilation differential responding, whereas generalization is assessed by comparing responses between different spatial contexts.Conclusion: The integrated study described in the current protocol paper could inform a personalized treatment approach in which these PTSD patients may receive glucocorticoids as a treatment enhancer in trauma-focused therapies.Trial registration: The research project is registered in the European Union Drug Regulating Authorities Clinical Trials (EudraCT) database, https://eudract.ema.europa.eu/, EudraCT number 2020-000712-30.

This protocol reports a proof-of-concept study for glucocorticoids as an enhancer for PTSD treatment.The study examines whether glucocorticoids enhance the strength and generalization of extinction memory.A further aim is to identify HPA-axis-related PTSD subgroups that may particularly benefit.

Prior knowledge of students: essential aspects that a nursing expert professor identifies, interprets, and organizes to foster learning / Saberes previos de los estudiantes: aspectos esenciales que un docente experto en enfermería identifica, interpreta y organiza para favorecer el aprendizaje / Conhecimento prévio dos alunos: aspectos essenciais que um professor especialista em enfermagem identifica, interpreta e organiza para promover a aprendizagem

Objective. To analyze the essential aspects that the nursing expert professor identifies, interprets, and organizes during classroom dialogic processes with students to foster their learning. Methods. Qualitative study, part of a multicenter study, which used ethnography of communication specifically from a micro-ethnographic approach. An expert professor from the Faculty of Nursing at a public university in Medellín, Colombia, was selected for the study. The fieldwork was done in three stages: 1)non-participant observations in two in-person classes of the Morphophysiology course recorded on video from two different perspectives (one focusing on the professor and another on the students); 2)think-aloud interviews with the professor and five students (three from the first class and two from the second) who spontaneously started more than two communicative interactions with the professor during the classes; and 3)parallel transcriptions, organized in didactic sequences (videos). The analysis was supported by the unit Student-Professor (identification-evaluation-answer) Student [S-P(i-e-a)S ́], and by continuous comparisons of the data. Results. Four categories were identified: 1) Identification of essential aspects: importance of prior knowledge, 2) Interpretation: connection between essential aspects and students' mental processes, 3) Organization of the answer: connection between prior knowledge and new knowledge, and: 4) Synchronization with the learning needs of the students, which were grouped in a meta-category: Prior knowledge of the students: essential aspects for learning. Conclusion. Students' experiential prior knowledge constitutes the essential aspects identified, interpreted, and organized by the expert professor to achieve significant learning.

Objetivo. Analizar los aspectos esenciales que el docente experto en enfermería identifica, interpreta y organiza durante los procesos dialógicos con los estudiantes en el aula para favorecer su aprendizaje. Métodos. Estudio cualitativo, parte de un estudio multicéntrico, que utilizó la etnografía de la comunicación desde un abordaje micro-etnográfico. Se seleccionó un docente experto de una Facultad de Enfermería de una universidad pública de Medellín, Colombia. El trabajo de campo se desarrolló en tres momentos: 1) observaciones no participantes en dos clases presenciales del curso de morfofisiología grabadas en video en dos planos (uno enfocando al profesor, y el otro, a los estudiantes); 2) entrevistas Think-Aloud Protocol (método de pensamiento en voz alta) al docente y a cinco estudiantes (tres de la primera clase y dos de la segunda) que iniciaron espontáneamente más de dos interacciones con el docente durante las clases; y 3) transcripciones paralelas, organizadas en secuencias didácticas (videos). El análisis se apoyó en la unidad [E-P(i-e-r)E ́] (Estudiante-Profesor (identificación-evaluación-respuesta) Estudiante ́) y en comparaciones constantes de los datos. Resultados. Emergieron cuatro categorías: 1) Identificación de aspectos esenciales: importancia de los saberes previos, 2) Interpretación: articulación de los aspectos esenciales y los procesos mentales del estudiantado, 3) Organización de la respuesta: conexión entre saberes previos y el nuevo conocimiento, y: 4) Sintonización con las necesidades de aprendizaje del estudiantado; las que fueron agrupadas en una meta-categoría: Saberes previos del estudiante: aspectos esenciales para el aprendizaje. Conclusión.Los saberes previos experienciales de los estudiantes se constituyen en los aspectos esenciales identificados, interpretados y organizados por el profesor experto, para el logro de aprendizajes significativos.

Objetivo. Analisar os aspectos essenciais que o professor especialista em enfermagem identifica, interpreta e organiza durante os processos dialógicos com os alunos em sala de aula para promover sua aprendizagem. Métodos. Estudo qualitativo, parte de um estudo multicêntrico, que utilizou a etnografia da comunicação a partir de uma abordagem microetnográfica. Foi selecionada uma professora especialista da Faculdade de Enfermagem de uma universidade pública de Medellín, Colômbia. O trabalho de campo foi desenvolvido em três momentos: 1) observações não participantes em duas aulas presenciais do curso de morfofisiologia gravadas em vídeo em dois planos (um focado no professor, e outro, nos alunos); 2) Entrevistas do Protocolo Think-Aloud com a professora e cinco alunos (três da primeira turma e dois da segunda) que iniciaram espontaneamente mais de duas interações com a professora durante as aulas; e 3) transcrições paralelas, organizadas em sequências didáticas (vídeos). A análise baseou-se na unidade [E-P(i-e-r)E ́] (Aluno-Professor (identificação-avaliação-resposta) Aluno ́) e em comparações constantes dos dados. Resultados. Emergiram quatro categorias: 1) Identificação dos aspectos essenciais: importância do conhecimento prévio, 2) Interpretação: articulação dos aspectos essenciais e dos processos mentais do aluno, 3) Organização da resposta: conexão entre conhecimentos prévios e novos conhecimentos, e: 4) Sintonia com as necessidades de aprendizagem do corpo discente; que foram agrupados em uma metacategoria: Conhecimentos prévios do aluno: aspectos essenciais para a aprendizagem. Conclusão. O conhecimento experiencial prévio dos alunos constitui os aspectos essenciais identificados, interpretados e organizados pelo professor especialista, para a obtenção de uma aprendizagem significativa.

Oral anticoagulant treatment in atrial fibrillation: the AFIRMA real-world study using natural language processing and machine learning.

INTRODUCTION: Oral anticoagulation (OAC) is key in atrial fibrillation (AF) thromboprophylaxis, but Spain lacks substantial real-world evidence. We aimed to analyze the prevalence, clinical characteristics, and treatment patterns among patients with AF undertaking OAC, using natural language processing (NLP) and machine learning (ML). MATERIALS AND METHODS: This retrospective study included AF patients on OAC from 15 Spanish hospitals (2014-2020). Using EHRead® (including NLP and ML), and SNOMED_CT, we extracted and analyzed patient demographics, comorbidities, and OAC treatment from electronic health records. AF prevalence was estimated, and a descriptive analysis was conducted. RESULTS: Among 4,664,224 patients in our cohort, AF prevalence ranged from 1.9% to 2.9%. A total of 57,190 patients on OAC therapy were included, 80.7% receiving Vitamin K antagonists (VKA) and 19.3% Direct-acting OAC (DOAC). The median age was 78 and 76 years respectively, with males constituting 53% of the cohort. Comorbidities like hypertension (76.3%), diabetes (48.0%), heart failure (42.2%), and renal disease (18.7%) were common, and more frequent in VKA users. Over 50% had a high CHA2DS2-VASc score. The most frequent treatment switch was from DOAC to acenocoumarol (58.6% to 70.2%). In switches from VKA to DOAC, apixaban was the most chosen (35.2%). CONCLUSIONS: Utilizing NLP and ML to extract RWD, we established the most comprehensive Spanish cohort of AF patients with OAC to date. Analysis revealed a high AF prevalence, patient complexity, and a marked VKA preference over DOAC. Importantly, in VKA to DOAC transitions, apixaban was the favored option.

Processo de ensino e aprendizagem no período de suspensão das aulas presenciais em virtude da pandemia de COVID-19: estudo com professores / Teaching and learning process in the suspension period of classes in virtue of the COVID-19 pandemy: study with teachers / Proceso de enseñanza y aprendizaje durante el período de suspensión de clases presencial por la pandemia del COVID-19: estudio con docentes

Introdução: Sabe-se que durante o período da pandemia do COVID-19, escolas e professores precisaram adaptar-se com alternativas para dar continuidade às aulas. Objetivo: Investigar estratégias e recursos pedagógicos de aprendizagem adotados por professores da rede pública e/ou privada de ensino, do interior de um estado brasileiro, durante o período de suspensão das aulas presenciais, em virtude da Pandemia de Covid-19 e seus efeitos para estudantes com e sem dificuldades de aprendizagem. Método: Aplicação de questionário on-line utilizando a ferramenta Google Forms para 37 professores atuantes do 1° ao 5° ano da rede pública e/ou privada no interior do estado, que tenham trabalhado remotamente durante a Pandemia no período de suspensão das aulas presenciais. Esse material continha questões de múltipla escolha e dissertativas e averiguava a forma de trabalho durante este período, as estratégias e os recursos adotados. Resultados: Os resultados mostraram que as estratégias mais utilizadas pelos professores foram uso de materiais impressos. Os professores relataram as dificuldades e os desafios em adotar o ensino remoto, referentes à desigualdade social dos alunos, a dificuldade de adaptação dos professores a esta forma de ensino e ao empenho restrito das famílias no processo de aprendizagem. Conclusão: foi possível verificar como ocorreu o processo de adaptação ao ensino remoto pelos professores. Verifica-se a necessidade de explorar o trabalho conjunto com a Fonoaudiologia, visando minimizar as dificuldades apresentadas pelos estudantes, o que auxiliaria no processo de ensino e aprendizagem dos alunos que, posteriormente, poderiam vir a ser futuros pacientes do setor de Fonoaudiologia. (AU)

Introduction: it is known that during the period of the COVID-19 pandemic, schools and teachers needed to adapt with alternatives to continue classes. Purpose: Investigate pedagogical learning strategies and resources adopted by teachers from public and/or private schools in the interior of a Brazilian state during the period of suspension of face-to-face classes, due to the Covid-19 Pandemic and its effects on students with and without learning difficulties. Method: This research included the application of an online questionnaire through Google Forms to 37 active teachers from the 1st to the 5th year of the public and/or private network at Brasilian state who have worked remotely during the Pandemic during the suspension period of in-person classes. This material contained multiple choice questions and essays, referring to the way of working during this period, strategies and resources adopted. Results: The results showed that the most used strategies by teachers were the use of printed materials. Teachers reported the difficulties and challenges in adopting remote teaching, referring to the social inequality of students, the limited commitment of families in the learning process and the difficulty of teachers to adapt to this form of teaching. Conclusion: Among 37 teachers who joined the study, it was possible to verify how the process of adaptation to remote teaching took place. There is a need to explore the joint work with Speech Therapy, aiming to minimize the difficulties presented by students. Such clarifications would help in the teaching and learning process of students who could later become future patients in the Speech Therapy sector. (AU)

Introducción: se sabe que durante el período de la pandemia del COVID-19, las escuelas y los docentes requirieron adaptarse con alternativas para continuar las clases. Objetivos: Investigar estrategias y recursos pedagógicos de aprendizaje adoptados por profesores de escuelas públicas y/o privadas del interior de un estado brasileño durante el período de suspensión de clases presenciales, debido a la Pandemia Covid-19 y sus efectos en estudiantes con y sin dificultades de aprendizaje. Método: Esta investigación implicó la aplicación de un cuestionario en línea a través de Formularios de Google a 37 docentes que laboran del 1° al 5° año de la red pública y/o privada del interior del estado, que habían trabajado de manera remota durante la Pandemia en el período de suspensión de clases presenciales. Este material contenía preguntas de selección múltiple y desarrollo, referentes a la forma de trabajar durante este período, las estrategias y los recursos adoptados. Resultados: Los resultados mostraron que las estrategias más utilizadas por los docentes fue el uso de materiales impresos. Los docentes relataron las dificultades y desafíos en la adopción de la enseñanza a distancia, refiriéndose a la desigualdad social de los estudiantes, el compromiso restringido de las familias en el proceso de aprendizaje y la dificultad de adaptación de los docentes a esta forma de enseñanza. Conclusión: Entre 37 docentes que se sumaron al estudio, fue posible verificar cómo ocurrió el proceso de adaptación a la enseñanza a distancia. Existe la necesidad de explorar el trabajo conjunto con la Logopedia, con el objetivo de minimizar las dificultades presentadas por los estudiantes. Tales aclaraciones ayudarían en el proceso de enseñanza y aprendizaje de los estudiantes que luego podrían convertirse en futuros pacientes del sector de Logopedia. (AU)

Machine learning models based on ultrasound and physical examination for airway assessment.

PURPOSE: To demonstrate the utility of machine learning models for predicting difficult airways using clinical and ultrasound parameters. METHODS: This is a prospective non-consecutive cohort of patients undergoing elective surgery. We collected as predictor variables age, sex, BMI, OSA, Mallampatti, thyromental distance, bite test, cervical circumference, cervical ultrasound measurements, and Cormack-Lehanne class after laryngoscopy. We univariate analyzed the relationship of the predictor variables with the Cormack-Lehanne class to design machine learning models by applying the random forest technique with each predictor variable separately and in combination. We found each design's AUC-ROC, sensitivity, specificity, and positive and negative predictive values. RESULTS: We recruited 400 patients. Cormack-Lehanne patients≥III had higher age, BMI, cervical circumference, Mallampati class membership≥III, and bite test≥II and their ultrasound measurements were significantly higher. Machine learning models based on physical examination obtained better AUC-ROC values than ultrasound measurements but without reaching statistical significance. The combination of physical variables that we call the "Classic Model" achieved the highest AUC-ROC value among all the models [0.75 (0.67-0.83)], this difference being statistically significant compared to the rest of the ultrasound models. CONCLUSIONS: The use of machine learning models for diagnosing VAD is a real possibility, although it is still in a very preliminary stage of development. CLINICAL REGISTRY: ClinicalTrials.gov: NCT04816435.

A problem-based learning experience in a radiology rotation for sixth-year medical students.

OBJECTIVE: To analyse a problem-based learning experience (PBL) in the sixth year of medicine, within a course organised in successive rotations of 12 school days for 7 annual groups. MATERIAL AND METHODS: Each group was divided into subgroups of 6-8 students. Each subgroup was assigned two cases with radiographic images that they had to prepare and present in a joint session in which the students discussed each case and the teacher acted as moderator, without providing solutions. Finally, they had 15 days to complete the debate in an online forum and prepare a written report on each case. RESULTS: During 6 consecutive years, 1001 students participated, whose annual grades ranged between 7.7 ±â€¯1.6 and 9.0 ±â€¯0.7 (mean ±â€¯standard deviation). No correlation was found between the degree of difficulty assigned to the cases and the mean score obtained by each group (R2 = 0.0115). Sixty-six point two percent completed a questionnaire rating various aspects of this experience above 4 out of 5 points and providing overall scores above 8.3 out of 10 points in the different years. The students found this experience appropriate to the objectives of the subject and useful for their educational needs. CONCLUSIONS: PBL allows students to acquire skills of understanding, reasoning and deepening in radiological diagnosis. This study demonstrates that an experience based on PBL can be included in a radiology course organised in a traditional way, allowing students to be graded regardless of the difficulty of the cases.

Sepsis mortality prediction with Machine Learning Tecniques.

OBJECTIVE: To develop a sepsis death classification model based on machine learning techniques for patients admitted to the Intensive Care Unit (ICU). DESIGN: Cross-sectional descriptive study. SETTING: The Intensive Care Units (ICUs) of three Hospitals from Murcia (Spain) and patients from the MIMIC III open-access database. PATIENTS: 180 patients diagnosed with sepsis in the ICUs of three hospitals and a total of 4559 patients from the MIMIC III database. MAIN VARIABLES OF INTEREST: Age, weight, heart rate, respiratory rate, temperature, lactate levels, partial oxygen saturation, systolic and diastolic blood pressure, pH, urine, and potassium levels. RESULTS: A random forest classification model was calculated using the local and MIMIC III databases. The sensitivity of the model of our database, considering all the variables classified as important by the random forest, was 95.45%, the specificity was 100%, the accuracy was 96.77%, and an AUC of 95%. . In the case of the model based on the MIMIC III database, the sensitivity was 97.55%, the specificity was 100%, and the precision was 98.28%, with an AUC of 97.3%. CONCLUSIONS: According to random forest classification in both databases, lactate levels, urine output and variables related to acid.base equilibrium were the most important variable in mortality due to sepsis in the ICU. The potassium levels were more critical in the MIMIC III database than the local database.

Estrategias didácticas para el aprendizaje autónomo y su repercusión en la salud de estudiantes de una universidad de Lambayeque

Fundamento: las estrategias didácticas para fomentar el aprendizaje autónomo son las estrategias cognitivas y afectivas que facilitan: aprender a aprender, aprender a hacer y aprender de forma cooperativa, para establecer la relación con sus pares y lograr el bienestar de la salud. Objetivo: determinar el nivel de implementación de las estrategias didácticas para lograr el aprendizaje autónomo y su repercusión en la salud de estudiantes de una universidad privada de Lambayeque. Métodos: se realizó una investigación con un enfoque cuantitativo, de tipo descriptiva, transversal y diseño cuasi experimental (estudio de antes-después). La muestra se obtuvo mediante muestreo no probabilístico por conveniencia con 390 estudiantes según el criterio de inclusión. Se evaluaron dos variables en sus dimensiones correspondientes. Para el análisis estadístico se empleó el programa IBM SPSS Statistics V.25. Resultados: para la variable, Estrategias didácticas, tanto en el pre-test como en el post-test, la mayoría la calificó como: siempre repercute en la salud mental. Con respecto a la variable, Aprendizaje autónomo, hubo un incremento en la calificación para la opción siempre, de 2,4 %, mientras que en: a veces, hubo una disminución del 1,7 % y en: nunca, el 1,8 %, mostraron la repercusión en la salud de los estudiantes. Conclusiones: se utilizaron estrategias didácticas para fomentar el aprendizaje autónomo que permitieron a los estudiantes: seleccionar, organizar, procesar y elaborar la información; de igual forma, para desarrollar la motivación y autorregulación para la toma de conciencia y control de su aprendizaje y mejorar la salud mental, al disminuir los niveles de estrés.

Foundation: teaching strategies to promote autonomous learning are cognitive and affective strategies that facilitate: learning to learn, learning to do and learning cooperatively, to establish relationships with peers and achieve health well-being. Objective: determine the level of implementation of teaching strategies to achieve autonomous learning and its impact on the health of students at a private university in Lambayeque. Methods: a research was carried out with a quantitative approach, descriptive, cross-sectional and quasi-experimental design (before-after study). The sample was obtained through non-probabilistic convenience sampling with 390 students according to the inclusion criterion. Two variables were evaluated in their corresponding dimensions. For the statistical analysis, the IBM SPSS Statistics V.25 program was used. Results: for the variable, Teaching strategies, both in the pre-test and in the post-test, the majority rated it as: it always has an impact on mental health. Regarding the variable, Autonomous Learning, there was an increase in the rating for the option always, of 2.4 %, while in: sometimes, there was a decrease of 1.7 % and in: never, of 1.8 %, which showed the impact on the health of the students. Conclusions: teaching strategies were used to promote autonomous learning that allowed students to: select, organize, process and elaborate information; likewise, to develop motivation and self-regulation for awareness and control of their learning and improve mental health, by reducing stress levels.

Interactive Atlas of the Canine Brain, Heart and Kidney Created from Plastinated Samples

SUMMARY: Currently, training in the field of anatomy requires the implementation of learning and knowledge technologies (TAC). Therefore, the objective of this work was to use digital images taken of plastinated canine brains, hearts, and kidneys to create an interactive atlas that facilitates the teaching-learning of the anatomy of these organs. The research was carried out in 3 phases. In the first, canine brains, hearts and kidneys were obtained using the cold-temperature silicone plastination. In the second stage, photographs were taken, the images were edited with Adobe Photoshop and converted to SVG format using Adobe Illustrator. During the last phase, the 2D atlas was created using MongoDB and Node.js for the backend and Vue.js as the framework for the frontend. In addition, it was used three.js to render the 3D models. As a result, the 'Interactive Canine Atlas', ATINCA, was created. The atlas comprises 27 interactive images and 27 in atlas mode view (28 of the brain, 20 of the heart, and 6 of the kidney). Furthermore, the atlas features 3D models of the three organs. The developed atlas constitutes the first digital tool created in Ecuador based on local institutional needs, including a 3D format. Consequently, ATINCA will be integrated into the curricula as a digital material that will facilitate significant autonomous and collaborative learning of canine anatomical knowledge.

Actualmente, la formación en el campo de la anatomía requiere la implementación de tecnologías del aprendizaje y el conocimiento (TAC). Por ello, el objetivo del trabajo fue utilizar imágenes digitales tomadas de cerebros, corazones y riñones caninos plastinados para crear un atlas interactivo que facilite la enseñanza-aprendizaje de la anatomía de estos órganos. La investigación se llevó a cabo en tres fases. En la primera se obtuvieron cerebros, corazones y riñones caninos mediante la técnica de plastinación con silicona al frío. En la segunda etapa se tomaron fotografías, las imágenes se editaron con Adobe Photoshop y se convirtieron a formato SVG con Adobe Illustrator. Durante la última fase, se creó el atlas 2D usando MongoDB y Node.js para el backend y Vue.js como framework para el frontend. Además, se utilizó three.js para renderizar los modelos 3D. Como resultado se creó el Atlas Interactivo del Canino, ATINCA. El atlas cuenta con 27 imágenes interactivas y 27 en vista modo atlas (28 del cerebro, 20 del corazón y 6 del riñón). Además, el atlas presenta modelos 3D de los tres órganos. El atlas desarrollado constituye la primera herramienta digital creada en el Ecuador con base en necesidades institucionales locales y donde se incluye el formato 3D. Con lo cual, ATINCA podrá incorporarse en las mallas curriculares como material digital que facilitará el aprendizaje autónomo y colaborativo significativo de conocimientos anatómicos de los órganos caninos.

Investigating Morphological Changes of the Hippocampus After Prolonged Aerobic Exercise in Mice: Neural Function and Learning Capabilities / Investigación de los Cambios Morfológicos del Hipocampo Después De un Ejercicio Aeróbico Prolongado en Ratones: Función Neuronal y Capacidades de Aprendizaje

SUMMARY: Both the academic and popular worlds have paid close attention to the link between exercise and cognitive performance. It is increasingly important to understand the numerous mechanisms by which exercise might influence cognitive abilities in view of the continuous societal issues caused by aging populations and the prevalence of disorders associated to cognitive decline. A rising amount of evidence showing a favorable association between physical activity and cognitive well-being serves as the foundation for the justification for studying the effects of exercise on cognitive function and learning ability. The study employed an 8-week treadmill based on exercise on male adults C57BL/6 mice. The exercise group were engaged in 5 sessions a week gradually increasing the intensity of the protocol by 5 % each week. The Mice cognitive assessments were done using Morris Water Maze and Novel Object Recognition tests. The long term-impact on learning ability were further assessed through immmohistochemistry and molecular analysis of the hippocampal and prefrontal cortex tissues of the animals' brain tissues. The findings showed improved spatial learning abilities, recognition memory, and heighted synaptic plasticity indicated by elevated synaptic makers. The study underscores the role of long-term aerobic exercise in augmenting cognitive performance. It not only contributes to the understanding of the interplay between neuroplasticity and cognitive benefits but also the growing body of research on the impact of exercise on cognitive function.

Tanto el mundo académico como el popular han prestado mucha atención al vínculo entre el ejercicio y el rendimiento cognitivo. Es cada vez más importante comprender los numerosos mecanismos por los cuales el ejercicio podría influir en las capacidades cognitivas en vista de los continuos problemas sociales causados por el envejecimiento de la población y la prevalencia de trastornos asociados al deterioro cognitivo. Una cantidad cada vez mayor de evidencia que muestra una asociación favorable entre la actividad física y el bienestar cognitivo sirve como base para justificar el estudio de los efectos del ejercicio sobre la función cognitiva y la capacidad de aprendizaje. El estudio se realizó en ratones machos adultos C57BL/6 utilizándose en los ejercicios una cinta rodante durante 8 semanas. El grupo de ejercicio realizó 5 sesiones por semana aumentando gradualmente la intensidad del protocolo en un 5 % cada semana. Las evaluaciones cognitivas de los ratones se realizaron utilizando las pruebas Morris Water Maze y Novel Object Recognition. El impacto a largo plazo en la capacidad de aprendizaje se evaluó mediante inmunohistoquímica y análisis molecular de los tejidos del hipocampo y la corteza prefrontal de los tejidos cerebrales de los animales. Los hallazgos mostraron mejoras en las habilidades de aprendizaje espacial, la memoria de reconocimiento y una mayor plasticidad sináptica indicada por unos creadores sinápticos elevados. El estudio subraya el papel del ejercicio aeróbico a largo plazo para aumentar el rendimiento cognitivo. No sólo contribuye a la comprensión de la interacción entre la neuroplasticidad y los beneficios cognitivos, sino también al creciente conjunto de investigaciones sobre el impacto del ejercicio en la función cognitiva.

Sex Prediction of Hyoid Bone from Computed Tomography Images Using the DenseNet121 Deep Learning Model / Predicción del Sexo del Hueso Hioides a Partir de Imágenes de Tomografía Computarizada Utilizando el Modelo de Aprendizaje Profundo DenseNet121

SUMMARY: The study aims to demonstrate the success of deep learning methods in sex prediction using hyoid bone. The images of people aged 15-94 years who underwent neck Computed Tomography (CT) were retrospectively scanned in the study. The neck CT images of the individuals were cleaned using the RadiAnt DICOM Viewer (version 2023.1) program, leaving only the hyoid bone. A total of 7 images in the anterior, posterior, superior, inferior, right, left, and right-anterior-upward directions were obtained from a patient's cut hyoid bone image. 2170 images were obtained from 310 hyoid bones of males, and 1820 images from 260 hyoid bones of females. 3990 images were completed to 5000 images by data enrichment. The dataset was divided into 80 % for training, 10 % for testing, and another 10 % for validation. It was compared with deep learning models DenseNet121, ResNet152, and VGG19. An accuracy rate of 87 % was achieved in the ResNet152 model and 80.2 % in the VGG19 model. The highest rate among the classified models was 89 % in the DenseNet121 model. This model had a specificity of 0.87, a sensitivity of 0.90, an F1 score of 0.89 in women, a specificity of 0.90, a sensitivity of 0.87, and an F1 score of 0.88 in men. It was observed that sex could be predicted from the hyoid bone using deep learning methods DenseNet121, ResNet152, and VGG19. Thus, a method that had not been tried on this bone before was used. This study also brings us one step closer to strengthening and perfecting the use of technologies, which will reduce the subjectivity of the methods and support the expert in the decision-making process of sex prediction.

El estudio tuvo como objetivo demostrar el éxito de los métodos de aprendizaje profundo en la predicción del sexo utilizando el hueso hioides. En el estudio se escanearon retrospectivamente las imágenes de personas de entre 15 y 94 años que se sometieron a una tomografía computarizada (TC) de cuello. Las imágenes de TC del cuello de los individuos se limpiaron utilizando el programa RadiAnt DICOM Viewer (versión 2023.1), dejando solo el hueso hioides. Se obtuvieron un total de 7 imágenes en las direcciones anterior, posterior, superior, inferior, derecha, izquierda y derecha-anterior-superior a partir de una imagen seccionada del hueso hioides de un paciente. Se obtuvieron 2170 imágenes de 310 huesos hioides de hombres y 1820 imágenes de 260 huesos hioides de mujeres. Se completaron 3990 imágenes a 5000 imágenes mediante enriquecimiento de datos. El conjunto de datos se dividió en un 80 % para entrenamiento, un 10 % para pruebas y otro 10 % para validación. Se comparó con los modelos de aprendizaje profundo DenseNet121, ResNet152 y VGG19. Se logró una tasa de precisión del 87 % en el modelo ResNet152 y del 80,2 % en el modelo VGG19. La tasa más alta entre los modelos clasificados fue del 89 % en el modelo DenseNet121. Este modelo tenía una especificidad de 0,87, una sensibilidad de 0,90, una puntuación F1 de 0,89 en mujeres, una especificidad de 0,90, una sensibilidad de 0,87 y una puntuación F1 de 0,88 en hombres. Se observó que se podía predecir el sexo a partir del hueso hioides utilizando los métodos de aprendizaje profundo DenseNet121, ResNet152 y VGG19. De esta manera, se utilizó un método que no se había probado antes en este hueso. Este estudio también nos acerca un paso más al fortalecimiento y perfeccionamiento del uso de tecnologías, que reducirán la subjetividad de los métodos y apoyarán al experto en el proceso de toma de decisiones de predicción del sexo.