The Role of Attention in Category Representation.

Numerous studies have found that selective attention affects category learning. However, previous research did not distinguish between the contribution of focusing and filtering components of selective attention. This study addresses this issue by examining how components of selective attention affect category representation. Participants first learned a rule-plus-similarity category structure, and then were presented with category priming followed by categorization and recognition tests. Additionally, to evaluate the involvement of focusing and filtering, we fit models with different attentional mechanisms to the data. In Experiment 1, participants received rule-based category training, with specific emphasis on a single deterministic feature (D feature). Experiment 2 added a recognition test to examine participants' memory for features. Both experiments indicated that participants categorized items based solely on the D feature, showed greater memory for the D feature, were primed exclusively by the D feature without interference from probabilistic features (P features), and were better fit by models with focusing and at least one type of filtering mechanism. The results indicated that selective attention distorted category representation by highlighting the D feature and attenuating P features. To examine whether the distorted representation was specific to rule-based training, Experiment 3 introduced training, emphasizing all features. Under such training, participants were no longer primed by the D feature, they remembered all features well, and they were better fit by the model assuming only focusing but no filtering process. The results coupled with modeling provide novel evidence that while both focusing and filtering contribute to category representation, filtering can also result in representational distortion.

Prediction error in implicit adaptation during visually- and memory-guided reaching tasks.

Human movements are adjusted by motor adaptation in order to maintain their accuracy. There are two systems in motor adaptation, referred to as explicit or implicit adaptation. It has been suggested that the implicit adaptation is based on the prediction error and has been used in a number of motor adaptation studies. This study aimed to examine the effect of visual memory on prediction error in implicit visuomotor adaptation by comparing visually- and memory-guided reaching tasks. The visually-guided task is thought to be implicit learning based on prediction error, whereas the memory-guided task requires more cognitive processes. We observed the adaptation to visuomotor rotation feedback that is gradually rotated. We found that the adaptation and retention rates were higher in the visually-guided task than in the memory-guided task. Furthermore, the delta-band power obtained by electroencephalography (EEG) in the visually-guided task was increased immediately following the visual feedback, which indicates that the prediction error was larger in the visually-guided task. Our results show that the visuomotor adaptation is enhanced in the visually-guided task because the prediction error, which contributes update of the internal model, was more reliable than in the memory-guided task. Therefore, we suggest that the processing of the prediction error is affected by the task-type, which in turn affects the rate of the visuomotor adaptation.

Point of Care Ultrasound Bladder Volume Calculation on the Acute Medical Unit.

Nursing staff, healthcare assistants (HCAs) and other healthcare professionals on the Acute Medical Unit (AMU) at Royal Berkshire Hospital (RBH) were taught a Point of Care Ultrasound (POCUS) skill during a twenty minute session. Practitioners learned how to take bladder volume measurements with the Butterfly iQ, a portable ultrasound device which provides a visually-aided method of volume measurement. A Likert scale was used to measure the confidence that staff had in performing volume measurements with the AMU automated scanners, and with the semi-automated Butterfly iQ. After the teaching session, confidence reported by practitioners in using the semi-automated visual method was significantly higher than confidence reported in using the automated non-visual scanners (t < 0.001). Minimal time and expense was required to teach practitioners how to perform this skill. Training nurses in POCUS for bladder visualisation and bladder volume calculation is easy and practicable.

Fine Motor Skills, a Surrogate of Motor Planning Ability, at Age 2 Predict Social Skills at Age 6.

OBJECTIVES: Motor planning is the cognitive process of planning necessary steps for achieving a purposeful movement and is specifically reflected through object manipulation. This study aimed to investigate whether fine motor skills, a surrogate of the motor planning ability of object manipulation, in early childhood are associated with later social skills, in a general-population birth cohort. METHODS: A total of 913 children, participating in the Hamamatsu Birth Cohort for Mothers and Children, were enrolled. Social skills were measured using the Vineland Adaptive Behavior Scales-II, Socialization domain, at age 6 years. Fine motor skills were measured using the Mullen Scales of Early Learning at 14, 24, and 32 months. The associations between fine motor skills at ages 14, 24, and 32 months and social skills at age 6 years were tested separately through multivariable linear regression after adjusting for covariates, including gross motor and language skills at the contemporaneous age, autistic symptoms at age 6 years, and demographic factors. RESULTS: Fine motor skills at 24 and 32 months were significantly associated with social skills at age 6 years (at 24 months: nonstandardized regression coefficient = 1.38 [95% CI, 0.50-2.26], p = 0.002; at 32 months: 1.47 [0.56-2.38], p = 0.001). CONCLUSION: Fine motor skills in early childhood predicted social skills at age 6 years, indicating an association between the complex motor planning ability of object manipulation and later social skills. Children who demonstrate fine motor delay at as early an age as 2 years should be closely monitored by child professionals.

Literature review on sexuality in the elderly: What is being taught and with what technologies. / Revisión de literatura sobre sexualidad en las personas mayores: qué se educa y con qué tecnologías.

Chile is facing an increasingly aging population and, with it, changes in its demographic, epidemiological, and healthcare structure. As a result, the sexual health of the elderly is an emerging area at the social level and in healthcare systems. This research aims to identify general aspects of sexuality in the elderly and learn about educational content delivered to this group using digital technologies. To do this, we proposed a review of scientific literature on the subject between January 1st, 2018, and December 31st, 2022, in the databases Web of Science, MEDLINE/PubMed, LILACS, Cochrane, Scopus, and Google Scholar. The articles found, and the emerging information was analyzed. A total of 1573 articles were found, of which 21 papers were finally included, 11 with qualitative methodology, six quantitative, and four mixed. In addition, nine addressed the area of sexuality, and 12 focused on technological innovations for the elderly. Sexuality is a growing topic worldwide, carrying with it sociocultural beliefs associated with dogmatic opinions and myths, with discrimination against this age group, especially if they belong to sexual minorities. This group also has better access to new digital technologies that facilitate access to training, social integration, and timely healthcare. Scientific evidence shows that the sexuality of the elderly is a topic of global interest, invisibilized, with low education and training of healthcare workers. The latter are neither informed nor able to solve the reasons for consultation in the traditional way or with new digital health technologies.

Chile es un país que enfrenta un envejecimiento poblacional acelerado, y con ello cambios en la estructura demográfica, epidemiológica y asistencial, donde la salud sexual de las personas mayores es un área emergente a nivel social y en los sistemas de salud. Esta investigación tiene por objetivos identificar aspectos generales de la sexualidad en las personas mayores, y conocer contenidos educativos entregados a este grupo con tecnologías digitales. Para ello, se propuso una revisión de literatura científica que buscó investigaciones en la materia entre el 1 de enero de 2018 y el 31 diciembre de 2022, en las bases de datos, A partir de ello se analizaron los artículos encontrados y la información emergente. Se encontraron 1573 artículos de los cuales se incluyeron 21 trabajos, 11 con metodología cualitativa, 6 cuantitativa y 4 mixta. Además, 9 trataron el área de sexualidad y 12 respecto de innovaciones tecnológicas en personas mayores. Se aprecia que la sexualidad es un tema creciente a nivel mundial, que arrastra idearios socioculturales asociados a visiones dogmáticas y a mitos, con discriminación hacia este grupo de edad, sobre todo si pertenecen a minorías sexuales. También se observa en este grupo de interés un mejor acceso a nuevas tecnologías digitales para acceder a capacitación, integración social y atención oportuna en salud. La evidencia científica demuestra que la sexualidad de las personas mayores es un tema de interés mundial, invisibilizado, con baja formación y capacitación del personal sanitario. Este personal no educa ni resuelve estos motivos de consulta en forma tradicional o con nuevas tecnologías digitales en salud.

Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature.

Non-pharmaceutical interventions (NPI) have great potential to improve cognitive function but limited investigation to discover NPI repurposing for Alzheimer's Disease (AD). This is the first study to develop an innovative framework to extract and represent NPI information from biomedical literature in a knowledge graph (KG), and train link prediction models to repurpose novel NPIs for AD prevention. We constructed a comprehensive KG, called ADInt, by extracting NPI information from biomedical literature. We used the previously-created SuppKG and NPI lexicon to identify NPI entities. Four KG embedding models (i.e., TransE, RotatE, DistMult and ComplEX) and two novel graph convolutional network models (i.e., R-GCN and CompGCN) were trained and compared to learn the representation of ADInt. Models were evaluated and compared on two test sets (time slice and clinical trial ground truth) and the best performing model was used to predict novel NPIs for AD. Discovery patterns were applied to generate mechanistic pathways for high scoring candidates. The ADInt has 162,212 nodes and 1,017,284 edges. R-GCN performed best in time slice (MR = 5.2054, Hits@10 = 0.8496) and clinical trial ground truth (MR = 3.4996, Hits@10 = 0.9192) test sets. After evaluation by domain experts, 10 novel dietary supplements and 10 complementary and integrative health were proposed from the score table calculated by R-GCN. Among proposed novel NPIs, we found plausible mechanistic pathways for photodynamic therapy and Choerospondias axillaris to prevent AD, and validated psychotherapy and manual therapy techniques using real-world data analysis. The proposed framework shows potential for discovering new NPIs for AD prevention and understanding their mechanistic pathways.

Gender comparison of perceptual-cognitive learning in young athletes.

Elite athletes demonstrate higher perceptual cognitive abilities compared to non-athletes and those capacities can be trained. A recent study showed that differences were observed between male and female athletes in their cognitive abilities whereby male athletes showed superior perceptual abilities compared to female athletes. The purpose of this study was to investigate whether there were gender differences in athletes' perceptual cognitive learning using a 3D-MOT tracking task. The study was performed on 72 young people from 16 to 22 years of age; athlete males and females and non-athlete males and females were distributed in four distinct groups. Five sessions comprised of three thresholds were performed with each participant. Results indicated that all participants benefited from training and significantly increased their speed thresholds. Initial scores showed that male athletes achieved higher speed thresholds than any other groups. Furthermore, after 5 weeks, female athletes obtained higher speed thresholds in comparison to their non-athlete counterparts. In conclusion, engaging in sporting activity is associated with improved perceptual-cognitive abilities and learning. The results support the notion that competitive sport-related activity is beneficial for perceptual-cognitive functions and emphasizes the benefits of participating in sport-related activities for improved brain function with an even greater impact for females.

Learning spiking neuronal networks with artificial neural networks: neural oscillations.

First-principles-based modelings have been extremely successful in providing crucial insights and predictions for complex biological functions and phenomena. However, they can be hard to build and expensive to simulate for complex living systems. On the other hand, modern data-driven methods thrive at modeling many types of high-dimensional and noisy data. Still, the training and interpretation of these data-driven models remain challenging. Here, we combine the two types of methods to model stochastic neuronal network oscillations. Specifically, we develop a class of artificial neural networks to provide faithful surrogates to the high-dimensional, nonlinear oscillatory dynamics produced by a spiking neuronal network model. Furthermore, when the training data set is enlarged within a range of parameter choices, the artificial neural networks become generalizable to these parameters, covering cases in distinctly different dynamical regimes. In all, our work opens a new avenue for modeling complex neuronal network dynamics with artificial neural networks.

Analyses of Genetic Regulation of the Nervous System in the Nematode Caenorhabditis elegans.

This chapter aims to provide a comprehensive overview of the methodologies available to dissect genetic regulation of the nervous systems in the nematode Caenorhabditis elegans. These techniques encompass genetic screens and genetic tools to unravel the spatial-temporal contribution of genes on neural structure and function. Unbiased genetic screens on random mutations induced by ethyl methanesulfonate (EMS) or target gene silencing by genome-wide RNA interference (RNAi) help progress our understanding of the genetic control of neural development and functions. Complement to unbiased genetic approaches, gene- and protein-targeted manipulation by Cre/LoxP recombination system and auxin-inducible degron (AID) protein degradation system, respectively, helps identify tissues/cells and the time window critical for gene and protein function during the proper execution of a particular behavior. Considering the remarkable conservation of genetic pathways between C. elegans and mammalian systems, elucidating the genetic underpinnings of neural functions and learning behaviors in C. elegans may furnish invaluable insights into analogous processes in more complex organisms. As shown in the following chapter, leveraging these diverse methodologies enable researchers to elucidate the intricate network governing neural function and structure, laying the foundation for innovating strategies to ameliorate cognitive alterations.

Development of Web-Based Education Modules to Improve Carer Engagement in Cancer Care: Design and User Experience Evaluation of the e-Triadic Oncology (eTRIO) Modules for Clinicians, Patients, and Carers.

BACKGROUND: Carers often assume key roles in cancer care. However, many carers report feeling disempowered and ill-equipped to support patients. Our group published evidence-based guidelines (the Triadic Oncology [TRIO] Guidelines) to improve oncology clinician engagement with carers and the management of challenging situations involving carers. OBJECTIVE: To facilitate implementation of the TRIO Guidelines in clinical practice, we aimed to develop, iteratively refine, and conduct user testing of a suite of evidence-based and interactive web-based education modules for oncology clinicians (e-Triadic Oncology [eTRIO]), patients with cancer, and carers (eTRIO for Patients and Carers [eTRIO-pc]). These were designed to improve carer involvement, communication, and shared decision-making in the cancer management setting. METHODS: The eTRIO education modules were based on extensive research, including systematic reviews, qualitative interviews, and consultation analyses. Guided by the person-based approach, module content and design were reviewed by an expert advisory group comprising academic and clinical experts (n=13) and consumers (n=5); content and design were continuously and iteratively refined. User experience testing (including "think-aloud" interviews and administration of the System Usability Scale [SUS]) of the modules was completed by additional clinicians (n=5), patients (n=3), and carers (n=3). RESULTS: The final clinician module comprises 14 sections, requires approximately 1.5 to 2 hours to complete, and covers topics such as carer-inclusive communication and practices; supporting carer needs; and managing carer dominance, anger, and conflicting patient-carer wishes. The usability of the module was rated by 5 clinicians, with a mean SUS score of 75 (SD 5.3), which is interpreted as good. Clinicians often desired information in a concise format, divided into small "snackable" sections that could be easily recommenced if they were interrupted. The carer module features 11 sections; requires approximately 1.5 hours to complete; and includes topics such as the importance of carers, carer roles during consultations, and advocating for the patient. The patient module is an adaptation of the relevant carer module sections, comprising 7 sections and requiring 1 hour to complete. The average SUS score as rated by 6 patients and carers was 78 (SD 16.2), which is interpreted as good. Interactive activities, clinical vignette videos, and reflective learning exercises are incorporated into all modules. Patient and carer consumer advisers advocated for empathetic content and tone throughout their modules, with an easy-to-read and navigable module interface. CONCLUSIONS: The eTRIO suite of modules were rigorously developed using a person-based design methodology to meet the unique information needs and learning requirements of clinicians, patients, and carers, with the goal of improving effective and supportive carer involvement in cancer consultations and cancer care.

Smart active particles learn and transcend bacterial foraging strategies.

Throughout evolution, bacteria and other microorganisms have learned efficient foraging strategies that exploit characteristic properties of their unknown environment. While much research has been devoted to the exploration of statistical models describing the dynamics of foraging bacteria and other (micro-) organisms, little is known, regarding the question of how good the learned strategies actually are. This knowledge gap is largely caused by the absence of methods allowing to systematically develop alternative foraging strategies to compare with. In the present work, we use deep reinforcement learning to show that a smart run-and-tumble agent, which strives to find nutrients for its survival, learns motion patterns that are remarkably similar to the trajectories of chemotactic bacteria. Strikingly, despite this similarity, we also find interesting differences between the learned tumble rate distribution and the one that is commonly assumed for the run and tumble model. We find that these differences equip the agent with significant advantages regarding its foraging and survival capabilities. Our results uncover a generic route to use deep reinforcement learning for discovering search and collection strategies that exploit characteristic but initially unknown features of the environment. These results can be used, e.g., to program future microswimmers, nanorobots, and smart active particles for tasks like searching for cancer cells, micro-waste collection, or environmental remediation.

Overexpression of miR-25 Downregulates the Expression of ROBO2 in Idiopathic Intellectual Disability.

Idiopathic intellectual disability (IID) encompasses the cases of intellectual disability (ID) without a known cause and represents approximately 50% of all cases. Neural progenitor cells (NPCs) from the olfactory neuroepithelium (NEO) contain the same information as the cells found in the brain, but they are more accessible. Some miRNAs have been identified and associated with ID of known etiology. However, in idiopathic ID, the effect of miRNAs is poorly understood. The aim of this study was to determine the miRNAs regulating the expression of mRNAs that may be involved in development of IID. Expression profiles were obtained using NPC-NEO cells from IID patients and healthy controls by microarray. A total of 796 miRNAs and 28,869 mRNAs were analyzed. Several miRNAs were overexpressed in the IID patients compared to controls. miR-25 had the greatest expression. In silico analysis showed that ROBO2 was the target for miR-25, with the highest specificity and being the most down-regulated. In vitro assay showed an increase of miR-25 expression induced a decrease in ROBO2 expression. In neurodevelopment, ROBO2 plays a crucial role in episodic learning and memory, so its down-regulation, caused by miR-25, could have a fundamental role in the intellectual disability that, until now, has been considered idiopathic.

'It's Powerful' The impact of involving children and young people in developing paediatric research agendas: A qualitative interview study.

INTRODUCTION: There is a growing consensus that children and young people (CYP) should be involved in matters that concern them. Progress is made in involving CYP in developing pediatric research agendas (PRAs), although the impact of their involvement remains unknown. We aimed to evaluate the impact of involving CYP in developing PRAs and assess the extent to which postpatient and public involvement (post-PPI) activities were planned. METHODS: We conducted a qualitative study using in-depth interviews to identify and gain an in-depth understanding of the impact of involving CYP in developing PRAs. The transcripts were uploaded to Atlas.ti to be coded and organised. Dutch-language interviews were analysed and interpreted together with vocational education and training (VET) students. These students were aged between 14 and 18 years and were training to become nurses. RESULTS: Three CYP and 15 researchers decided to participate. We focused on three categories of impact: agenda-setting impact, individual impact and academic impact. Involving CYP creates a more enriched and clarified agenda. It ensured that both CYP and researchers underwent personal or professional growth and development, it created a connection between the people involved, awareness about the importance of involving CYP and it ensured that the people involved had a positive experience. The participants were unable to indicate the academic impact of their PRAs, but they did understand the key factors for creating it. In addition, the need to measure impact was highlighted, with a particular focus on assessing individual impact. DISCUSSION: Our study outlines the diverse subthemes of impact that arise from involving CYP in developing PRAs. Despite the potential of research agendas to amplify CYP voices, only a minority of researchers strategized post-PPI activities ensuring impactful outcomes, prompting the need for thorough evaluation of various impact forms and consistent alignment with the overarching goal of transforming the research field. PATIENT OR PUBLIC CONTRIBUTION: We involved VET students in the data analysis and interpretation phase by forming a young person advisory group. The data analysis of the interviews analysed by the VET students revealed four distinct themes: 1. Learnt new knowledge. 2. Learnt to collaborate. 3. Learnt to listen. 4. Assessment of the individual impact.

Expanding capacity for publication in nursing: Experiences from a writing for publication group.

Nurses have valuable knowledge and expertise to share. Yet, for a variety of reasons, many nurses do not write for publication. Members in one Sigma Theta Tau International chapter requested information about publishing so a writing for publication program (WPP) was convened. Ten nurses from diverse clinical and academic backgrounds participated. The goal of the WPP was to support a small group of nurses to advance knowledge and develop practical skills through the development of a manuscript with mentorship from doctorally-prepared nurses with publishing experience. The anticipated effect was that participants would share what they learned with colleagues or mentor others to publish in the future. Beginning with informational sessions to lay the foundation for writing and publishing, the WPP included biweekly, two-hour online sessions over a seven-month period whereby individual and group writing with embedded peer and WPP leader feedback occurred. WPP participants gained proficiency in searching online databases, synthesizing published literature, and working as a member of a writing team. The group successfully published a manuscript based on a topic of interest. This current article describes the structured support and mentorship provided during the WPP with recommendations for overcoming publication barriers commonly described in the literature.

Enhancing sense of belonging in nursing student clinical placements to advance learning and identity development.

Clinical placements are considered one of the "hallmarks" of nursing education. In these settings, students can build upon their theoretical learning by applying knowledge, practicing skills, connecting with nurses and other medical professionals, and creating opportunities to work with diverse populations. As a result, students begin to hone their nurse identity, and build confidence and self-esteem. Importantly, the development of a nursing identity through clinical placement work is improved by integrating opportunities that increase belongingness. Campus climate plays a significant role in creating the environment necessary for belongingness to flourish and leads to enhanced student learning. Taking the role of positive campus climate into consideration, this article argues that instructors supervising undergraduate nursing students in clinical learning environments must create inclusive climates for their students to increase positive educational outcomes. Specific recommendations for creating inclusive clinical learning environments are provided.

The interprofessional practice experiences of final-semester prelicensure BSN students completing clinical immersion: A descriptive qualitative study.

BACKGROUND: The goal of interprofessional practice experiences in health professions programs is to develop interprofessional collaborative practice skills. PURPOSE: The purpose of the study was to explore the meaning final-semester Bachelor of Science in Nursing students attributed to interprofessional practice experiences during clinical immersion. METHODS: The theoretical framework for this descriptive qualitative study was experiential learning theory. A sample of 12 participants was drawn from final-semester prelicensure Bachelor of Science in Nursing students at a college of nursing at a public research university. Data were collected through one-on-one semi-structured interviews and analyzed through inductive thematic analysis. RESULTS: The analysis yielded four themes: professional and interprofessional identity, working with team members, communication practices, and trusting relationships. Patterns across themes were clinical environment culture, nursing school preparation, nurse preceptor role, fear/concern/worry, and night shift. CONCLUSION: Consistency in preceptors, welcoming clinical environments, and opportunities to practice communicating with team members contributed to interprofessional collaborative practice skill development and improved perceptions of readiness for practice. Academic and clinical educators may use findings to (a) identify immersion placements for interprofessional practice experiences, (b) design curricula reflective of interprofessional practice, (c) advance teaching strategies to promote interprofessional practice, and (d) create learning environments that aid in professional and interprofessional identity formation.

Assessing the benefits of an online prematriculation anatomy workshop on knowledge acquisition and anatomy competency in a Doctor of Physical Therapy program.

Preparing students for the transition to graduate-level education with greater learning demands in a condensed time frame is a challenging process for health professions educators and incoming students. Prematriculation programs offer a solution for exposing students to the foundational sciences in preparation for the academic rigor of a doctoral program. This retrospective study assessed whether incoming students enrolled across 3 yr of a 2-day online anatomy workshop, offered in July and August before the start of their first semester resulted in improved anatomy knowledge. Whether this acquired knowledge translated to improved anatomy outcomes in the first semester of a Doctor of Physical Therapy program was also assessed, while also accounting for variables of gender, ethnicity, and grade-point average. Knowledge acquired during both days of the workshop resulted in statistically significant improvements in anatomy postquiz scores compared to the baseline prequiz (P < 0.001). Multivariate regression analyses demonstrated statistically significant relationships between the first-semester anatomy practical score and workshop participation (P = 0.04) as well as a predictive value of gender (P = 0.01). Evaluating a timing effect on the predictive value of the online anatomy workshop demonstrated statistically significant effects of the prematriculation workshop on both first-semester anatomy practicals for August (P = 0.03 for practical 1; P = 0.04 for practical 2) but not July workshop participants. Findings from this study support the utility of an online prematriculation anatomy workshop to prepare students for graduate-level anatomy learning expectations in a doctoral allied health program.NEW & NOTEWORTHY This paper presents the findings of a retrospective study examining the effectiveness of an online prematriculation anatomy workshop on knowledge acquisition and first-semester anatomy competency following the success of a previously offered peer-led onsite workshop. To our knowledge, this is the first report of an online prematriculation program that successfully introduces graduate-level learning expectations and access to anatomical resources leading to improved anatomy competency in an allied health professional program.

An updated review on animal models to study attention-deficit hyperactivity disorder.

Attention-deficit hyperactivity disorder (ADHD) is a neuropsychiatric disorder affecting both children and adolescents. Individuals with ADHD experience heterogeneous problems, such as difficulty in attention, behavioral hyperactivity, and impulsivity. Recent studies have shown that complex genetic factors play a role in attention-deficit hyperactivity disorders. Animal models with clear hereditary traits are crucial for studying the molecular, biological, and brain circuit mechanisms underlying ADHD. Owing to their well-managed genetic origins and the relative simplicity with which the function of neuronal circuits is clearly established, models of mice can help learn the mechanisms involved in ADHD. Therefore, in this review, we highlighting the important genetic animal models that can be used to study ADHD.

Perceptions of medical students on narrow learning objectives and structured debriefing in medical escape rooms: a qualitative study.

BACKGROUND: Escape rooms are increasingly used in medical education as a complementary learning technique or even alternative to traditional educational approaches. Few studies focus on debriefing following medical escape rooms and how escape rooms can be used to achieve pre-defined learning objectives. Evaluating the use of narrow learning objectives may increase the depth of reflections and transform an engaging team event into an effective learning opportunity. This study aimed to explore participants' experiences and perceived learning outcomes of narrow learning objectives in a medical escape room with debriefing. METHODS: In this explorative, qualitative study, participants saw a video lecture, participated in an escape room experience, and in a following debriefing. Throughout this learning session, the learning objectives concerned "exchange of information" and are therefore relatively narrow. Participants then participated in a semi-structured focus group interview and completed a demographic questionnaire. Participants were volunteer final-year medical students. Focus group interview recordings were transcribed and analysed using systematic text condensation. RESULTS: Thirty-two students in eight groups completed the study. Five themes were described in the analysis of the focus group interviews: Experience with the narrow learning objectives, topics discussed in the debriefing, learning mechanisms, learning outcomes concerning exchange of information and influences of the learning approach. CONCLUSIONS: Narrow learning objectives and structured debriefing seem to increase perceived learning depth of medical escape room sessions. Using semi-structured debriefing still allows for discussions of other elements relevant to the students. CLINICAL TRIALS: Clinical.trials ID NCT04783259.

Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching.

BACKGROUND: In medical imaging courses, due to the complexity of anatomical relationships, limited number of practical course hours and instructors, how to improve the teaching quality of practical skills and self-directed learning ability has always been a challenge for higher medical education. Artificial intelligence-assisted diagnostic (AISD) software based on volume data reconstruction (VDR) technique is gradually entering radiology. It converts two-dimensional images into three-dimensional images, and AI can assist in image diagnosis. However, the application of artificial intelligence in medical education is still in its early stages. The purpose of this study is to explore the application value of AISD software based on VDR technique in medical imaging practical teaching, and to provide a basis for improving medical imaging practical teaching. METHODS: Totally 41 students majoring in clinical medicine in 2017 were enrolled as the experiment group. AISD software based on VDR was used in practical teaching of medical imaging to display 3D images and mark lesions with AISD. Then annotations were provided and diagnostic suggestions were given. Also 43 students majoring in clinical medicine from 2016 were chosen as the control group, who were taught with the conventional film and multimedia teaching methods. The exam results and evaluation scales were compared statistically between groups. RESULTS: The total skill scores of the test group were significantly higher compared with the control group (84.51 ± 3.81 vs. 80.67 ± 5.43). The scores of computed tomography (CT) diagnosis (49.93 ± 3.59 vs. 46.60 ± 4.89) and magnetic resonance (MR) diagnosis (17.41 ± 1.00 vs. 16.93 ± 1.14) of the experiment group were both significantly higher. The scores of academic self-efficacy (82.17 ± 4.67) and self-directed learning ability (235.56 ± 13.50) of the group were significantly higher compared with the control group (78.93 ± 6.29, 226.35 ± 13.90). CONCLUSIONS: Applying AISD software based on VDR to medical imaging practice teaching can enable students to timely obtain AI annotated lesion information and 3D images, which may help improve their image reading skills and enhance their academic self-efficacy and self-directed learning abilities.