Multidisciplinary approach to diagnostic radiology education: a novel educational intervention for Turkish medical students.

Teleconferencing can facilitate a multidisciplinary approach to teaching radiology to medical students. This study aimed to determine whether an online learning approach enables students to appreciate the interrelated roles of radiology and other specialties during the management of different medical cases. Turkish medical students attended five 60-90-minute online lectures delivered by radiologists and other specialists from the United States and Canada through Zoom meetings between November 2020 and January 2021. Student ambassadors from their respective Turkish medical schools recruited their classmates with guidance from the course director. Students took a pretest and posttest to assess the knowledge imparted from each session and a final course survey to assess their confidence in radiology and the value of the course. A paired t-test was used to assess pretest and posttest score differences. A 4-point Likert-type scale was used to assess confidence rating differences before and after attending the course sessions. A total of 1,458 Turkish medical students registered for the course. An average of 437 completed both pre- and posttests when accounting for all five sessions. Posttest scores were significantly higher than pretest scores for each session (P < 0.001). A total of 546 medical students completed the final course survey evaluation. Students' rating of their confidence in their radiology knowledge increased after taking the course (P < 0.001). Students who took our course gained an appreciation for the interrelated roles of different specialties in approaching medical diagnoses and interpreting radiological findings. These students also reported an increased confidence in radiology topics and rated the course highly relevant and insightful. Overall, our findings indicated that multidisciplinary online education can be feasibly implemented for medical students by video teleconferencing.

Effects of undergraduate ultrasound education on cross-sectional image understanding and visual-spatial ability - a prospective study.

INTRODUCTION/AIM: Radiological imaging is crucial in modern clinical practice and requires thorough and early training. An understanding of cross-sectional imaging is essential for effective interpretation of such imaging. This study examines the extent to which completing an undergraduate ultrasound course has positive effects on the development of visual-spatial ability, knowledge of anatomical spatial relationships, understanding of radiological cross-sectional images, and theoretical ultrasound competencies. MATERIAL AND METHODS: This prospective observational study was conducted at a medical school with 3rd year medical students as part of a voluntary extracurricular ultrasound course. The participants completed evaluations (7-level Likert response formats and dichotomous questions "yes/no") and theoretical tests at two time points (T1 = pre course; T2 = post course) to measure their subjective and objective cross-sectional imaging skills competencies. A questionnaire on baseline values and previous experience identified potential influencing factors. RESULTS: A total of 141 participants were included in the study. Most participants had no previous general knowledge of ultrasound diagnostics (83%), had not yet performed a practical ultrasound examination (87%), and had not attended any courses on sonography (95%). Significant subjective and objective improvements in competencies were observed after the course, particularly in the subjective sub-area of "knowledge of anatomical spatial relationships" (p = 0.009). Similarly, participants showed improvements in the objective sub-areas of "theoretical ultrasound competencies" (p < 0.001), "radiological cross-section understanding and knowledge of anatomical spatial relationships in the abdomen" (p < 0.001), "visual-spatial ability in radiological cross-section images" (p < 0.001), and "visual-spatial ability" (p = 0.020). CONCLUSION: Ultrasound training courses can enhance the development of visual-spatial ability, knowledge of anatomical spatial relationships, radiological cross-sectional image understanding, and theoretical ultrasound competencies. Due to the reciprocal positive effects of the training, students should receive radiology training at an early stage of their studies to benefit as early as possible from the improved skills, particularly in the disciplines of anatomy and radiology.

Medical Extended Reality for Radiology Education and Training.

Medical Extended Reality (MXR), encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), presents a novel paradigm in radiology training by offering immersive, interactive, and realistic learning experiences in healthcare. While traditional educational tools in the field of radiology are essential, it is necessary to capitalize on the innovative and emerging educational applications of XR technologies. At the most basic level of learning anatomy, XR has been extensively utilized with an emphasis on its superiority over conventional learning methods, especially in spatial understanding and recall. For imaging interpretation, XR has fostered the concepts of virtual reading rooms by enabling collaborative learning environments and enhancing image analysis and understanding. Moreover, image-guided interventions in interventional radiology have witnessed an uptick in XR utilization, illustrating its effectiveness in procedural training and skill acquisition for medical students and residents in a safe and risk-free environment. However, there remain several challenges and limitations for XR in radiology education, including technological, economic, ergonomic, and integration into existing curricula. This review explores the transformative potential of MXR in radiology education and training along with insights on the future of XR in radiology education, forecasting advancements in immersive simulations, AI integration for personalized learning, and the potential of cloud-based XR platforms for remote and collaborative training. In summation, MXR's burgeoning role in reshaping radiology education offers a safer, scalable, and more efficient training model that aligns with the dynamic healthcare landscape.

The Scope of Virtual Reality Simulators in Radiology Education: Systematic Literature Review.

Background: In recent years, virtual reality (VR) has gained significant importance in medical education. Radiology education also has seen the induction of VR technology. However, there is no comprehensive review in this specific area. This review aims to fill this knowledge gap. Objective: This systematic literature review aims to explore the scope of VR use in radiology education. Methods: A literature search was carried out using PubMed, Scopus, ScienceDirect, and Google Scholar for articles relating to the use of VR in radiology education, published from database inception to September 1, 2023. The identified articles were then subjected to a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)-defined study selection process. Results: The database search identified 2503 nonduplicate articles. After PRISMA screening, 17 were included in the review for analysis, of which 3 (18%) were randomized controlled trials, 7 (41%) were randomized experimental trials, and 7 (41%) were cross-sectional studies. Of the 10 randomized trials, 3 (30%) had a low risk of bias, 5 (50%) showed some concerns, and 2 (20%) had a high risk of bias. Among the 7 cross-sectional studies, 2 (29%) scored "good" in the overall quality and the remaining 5 (71%) scored "fair." VR was found to be significantly more effective than traditional methods of teaching in improving the radiographic and radiologic skills of students. The use of VR systems was found to improve the students' skills in overall proficiency, patient positioning, equipment knowledge, equipment handling, and radiographic techniques. Student feedback was also reported in the included studies. The students generally provided positive feedback about the utility, ease of use, and satisfaction of VR systems, as well as their perceived positive impact on skill and knowledge acquisition. Conclusions: The evidence from this review shows that the use of VR had significant benefit for students in various aspects of radiology education. However, the variable nature of the studies included in the review reduces the scope for a comprehensive recommendation of VR use in radiology education.

Studying the history of histopathology in preclinical medical education as a guide for the uniform integration of radiology in medical education.

Radiology and pathology, though distinct fields within medical education, share a common foundation in their essential roles for accurate diagnosis and understanding of diseases. While pathology, particularly histopathology, has long been integrated into preclinical medical education in the United States, radiology education has traditionally been less emphasized. This paper examines the historical development of histopathology training in medical education and its central role, contrasting it with the comparatively peripheral position of radiology education. We explore the historical context of medical education in the United States, tracing the integration of histopathology following the Flexner Report of 1910. In contrast, radiology, emerging later as a specialized field, has faced challenges in achieving comparable integration into medical curricula. Despite the increasing importance of medical imaging in diagnosis and treatment, radiology education remains variable and often lacking in standardization across medical schools. We highlight the need for greater emphasis on radiology education to better prepare medical students for modern clinical practice, where medical imaging plays an increasingly pivotal role. A call for a comprehensive assessment of radiology education and advocacy for its integration into preclinical curricula is made, emphasizing the importance of collaboration between the radiology profession and accrediting bodies to ensure competence in imaging across medical specialties. As medical imaging continues to advance and become more integral to healthcare, it is imperative that medical education reflects this evolution by establishing radiology as a fundamental component of preclinical training.

Students' and junior doctors' perspectives on radiology education in medical school: a qualitative study in the Netherlands.

BACKGROUND: Modern medicine becomes more dependent on radiologic imaging techniques. Over the past decade, radiology has also gained more attention in the medical curricula. However, little is known with regard to students' perspectives on this subject. Therefore, this study aims to gain insight into the thoughts and ideas of medical students and junior doctors on radiology education in medical curricula. METHODS: A qualitative, descriptive study was carried out at one medical university in the Netherlands. Participants were recruited on social media and were interviewed following a predefined topic list. The constant comparative method was applied in order to include new questions when unexpected topics arose during the interviews. All interviews were transcribed verbatim and coded. Codes were organized into categories and themes by discussion between researchers. RESULTS: Fifteen participants (nine junior doctors and six students) agreed to join. From the coded interviews, four themes derived from fifteen categories arose: (1) The added value of radiology education in medical curricula, (2) Indispensable knowledge on radiology, (3) Organization of radiology education and (4) Promising educational innovations for the radiology curriculum. CONCLUSION: This study suggests that medical students and junior doctors value radiology education. It provides insights in educational topics and forms for educational improvement for radiology educators.

The teaching of Radiology in other university studies.

After the implementation of the European Space for Higher Education, the contents of the Radiology and Physical Medicine Area that were taught in the Medicine Degree have also been incorporated into the new degrees of Dentistry, Nursing, Physiotherapy, Podiatry, and, to a lesser extent, Pharmacy, Occupational Therapy, Logopedia, and Biomedical Engineering As a whole, the basic concepts of radiology and radiological protection are taught in Murcia in 5 different degrees with a total of 52.5 ECTS credits, participating in the training of 1219 students each academic year. This incorporation in the new degrees has tripled the number of subjects in which undergraduate teaching is taught, and doubled both the number of ECTS credits and the number of undergraduate students to whom it directs its training work. Thus, given the possible creation of new university degrees in the near future (Diagnostic Imaging and Radiotherapy Technicians), it would be necessary to involve a greater number of accredited professionals, from different specialties, and to optimize teaching resources (bibliography, material teacher, clinical cases, etc.,) for its usefulness in the different subjects that share similar contents.

La enseñanza de la Radiología en otros estudios universitarios / The teaching of Radiology in other university studies

Tras la implantación del Espacio Europeo de Formación Superior, los contenidos del Área de Radiología y Medicina Física que se impartían tradicionalmente en la Licenciatura de Medicina se han incorporado también a los nuevos grados de Odontología, Enfermería, Fisioterapia, Podología y, en menor medida, Farmacia, Terapia Ocupacional, Logopedia, e Ingeniería Biomédica. En su conjunto, los conceptos básicos de radiología y protección radiológica se imparten en Murcia en 5 grados diferentes con un total de 52,5 créditos ECTS, participando en la formación de 1219 alumnos cada curso académico. Esta incorporación en los nuevos grados ha triplicado el número de asignaturas en las que se imparte docencia pregrado, y duplicado tanto el número de créditos ECTS como el número de alumnos de pregrado a los que dirige su labor de formación. Así, ante la posible creación de nuevos grados universitarios en un futuro próximo (Imagen para el Diagnóstico y Técnico en Radioterapia) sería necesaria la implicación de un mayor número de profesionales acreditados, de diferentes especialidades, y que optimicen los recursos docentes (bibliografía, material docente, casos clínicos, etc.) para su utilidad en las diferentes asignaturas que comparten contenidos similares.(AU)

After the implementation of the European Space for Higher Education, the contents of the Radiology and Physical Medicine Area that were taught in the Medicine Degree have also been incorporated into the new degrees of Dentistry, Nursing, Physiotherapy, Podiatry, and, to a lesser extent, Pharmacy, Occupational Therapy, Logopedia, and Biomedical Engineering As a whole, the basic concepts of radiology and radiological protection are taught in Murcia in 5 different degrees with a total of 52.5 ECTS credits, participating in the training of 1,219 students each academic year. This incorporation in the new degrees has tripled the number of subjects in which undergraduate teaching is taught, and doubled both the number of ECTS credits and the number of undergraduate students to whom it directs its training work. Thus, given the possible creation of new university degrees in the near future (Diagnostic Imaging and Radiotherapy Technicians), it would be necessary to involve a greater number of accredited professionals, from different specialties, and to optimize teaching resources (bibliography, material teacher, clinical cases, etc.) for its usefulness in the different subjects that share similar contents.(AU)

The Virtual Reality Radiology Workstation: Current Technology and Future Applications.

Virtual reality (VR) and augmented reality (AR) technology hold potential across many disciplines in medicine to expand the delivery of education and healthcare. VR-AR applications in radiology, in particular, have gained prominence and have demonstrated advantages in many areas within the field. Recently, VR software has emerged to redesign the physical radiology workstation (ie, reading room) to expand the possibilities of diagnostic interpretation. Given the novelty of this technology, there is limited research investigating the potential applications of a simulated radiology workstation. In this review article, we explore VR-simulated reading room technology in its current form and illustrate the practical applications this technology will bring to future radiologists and learners. We also discuss the limitations and barriers to adopting this technology that must be overcome to truly understand its potential benefits. VR reading room technology offers great potential in radiology, but further research is needed to appreciate its benefits and identify areas for improvement. The findings and insights presented in this review contribute to the ongoing discourse on future technological advancements in radiology and healthcare, offering valuable recommendations for further research and practical implementation.

What works in radiology education for medical students: a systematic review and meta-analysis.

BACKGROUND: Medical imaging related knowledge and skills are widely used in clinical practice. However, radiology teaching methods and resultant knowledge among medical students and junior doctors is variable. A systematic review and meta-analysis was performed to compare the impact of different components of radiology teaching methods (active versus passive teaching, eLearning versus traditional face-to-face teaching) on radiology knowledge / skills of medical students. METHODS: PubMed and Scopus databases were searched for articles published in English over a 15-year period ending in June 2021 quantitatively comparing the effectiveness of undergraduate medical radiology education programs regarding acquisition of knowledge and/or skills. Study quality was appraised by the Medical Education Research Study Quality Instrument (MERSQI) scoring and analyses performed to assess for risk of bias. A random effects meta-analysis was performed to pool weighted effect sizes across studies and I2 statistics quantified heterogeneity. A meta-regression analysis was performed to assess for sources of heterogeneity. RESULTS: From 3,052 articles, 40 articles involving 6,242 medical students met inclusion criteria. Median MERSQI score of the included articles was 13 out of 18 possible with moderate degree of heterogeneity (I2 = 93.42%). Thematic analysis suggests trends toward synergisms between radiology and anatomy teaching, active learning producing superior knowledge gains compared with passive learning and eLearning producing equivalent learning gains to face-to-face teaching. No significant differences were detected in the effectiveness of methods of radiology education. However, when considered with the thematic analysis, eLearning is at least equivalent to traditional face-to-face teaching and could be synergistic. CONCLUSIONS: Studies of educational interventions are inherently heterogeneous and contextual, typically tailored to specific groups of students. Thus, we could not draw definitive conclusion about effectiveness of the various radiology education interventions based on the currently available data. Better standardisation in the design and implementation of radiology educational interventions and design of radiology education research are needed to understand aspects of educational design and delivery that are optimal for learning. TRIAL REGISTRATION: Prospero registration number CRD42022298607.

Novel radiology PRIMER course enhances medical student perception of radiology and key concept comprehension.

RATIONALE AND OBJECTIVES: A novel three-day radiology course, PRIMER, directly preceding medical students' clinical year, was created and assessed. The required course consisted of large group lecture sessions, small group breakout sessions, and individual assignments. Though early exposure to radiology has been described in preclinical anatomy curricula, few schools offer immersive experiences to radiology as a direct predecessor to the wards. MATERIALS AND METHODS: An identical survey was distributed prior to and at the completion of the PRIMER course. Students' perceptions of radiology were assessed through Likert-style questions. Students' knowledge of radiological concepts was assessed through multiple choice questions (MCQs) related to key concepts, MCQs in which students selected the most likely diagnosis, and hotspot questions in which learners had to select the area of greatest clinical importance. Mean pre- and post-course student perception scores were compared using a T-test. For knowledge-based questions, each student received an exam score, and mean pre- and post-exam scores were compared using a T-test. RESULTS: Students' opinions of radiology changed significantly in a favorable direction across all tested questions between inception and conclusion of PRIMER (p < 0.01). Students demonstrated superior knowledge of radiological concepts after course completion (posttest mean 52% vs pretest mean 26.3%, p < 0.01). CONCLUSION: The novel radiology PRIMER course promoted a positive impression of radiology and increased medical students' knowledge of key concepts. These results suggest that a condensed introductory radiology curriculum delivered at a key moment in the overarching curriculum can have a significant impact on medical students' perceptions and knowledge.

Utilizing Learning Analytics in Radiology: A Pilot Study of an e-Learning Platform in Medical Student Education.

RATIONALE AND OBJECTIVES: Learning analytics is a rapidly advancing scientific field that enables data-driven insights and personalized learning experiences. However, traditional methods for teaching and assessing radiology skills do not provide the data needed to leverage this technology in radiology education. MATERIALS AND METHODS: In this paper, we implemented rapmed.net, an interactive radiology e-learning platform designed to utilize learning analytics tools in radiology education. Second-year medical students' pattern recognition skills were evaluated using time to solve a case, dice score, and consensus score, while their interpretation abilities were assessed through multiple-choice questions (MCQs). Assessments were conducted before and after a pulmonary radiology block to examine the learning progress. RESULTS: Our results show that a comprehensive assessment of students' radiological skills using consensus maps, dice scores, time metrics, and MCQs revealed shortcomings traditional MCQs would not have detected. Learning analytics tools allow for a better understanding of students' radiology skills and pave the way for a data-driven educational approach in radiology. CONCLUSION: As one of the most important skills for physicians across all disciplines, improving radiology education will contribute to better healthcare outcomes.

RadDiscord's Big Bang: Perspectives and Impact of Creation of a Successful Radiology Education Community.

The COVID-19 pandemic brought unprecedented challenges in radiology education. RadDiscord, a digital, open-access radiology educational platform now with over 4100 members internationally, emerged as a COVID-era innovation that has transformed radiology education, broken down institutional silos, and equalized access to high-quality education. This special report will discuss the origin of RadDiscord, overcoming early barriers, building an organization and community, innovation and impact, and the future of radiological education. This may offer helpful perspectives to trainees and educators who are interested in innovating in the realm of radiology education.

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources

Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations. However, Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence (AI)-powered language model, has made its mark in radiology education. It can generate learning assessments, create lesson plans, act as a round-the-clock virtual tutor, enhance critical thinking, translate materials for broader accessibility, summarize vast amounts of information, and provide real-time feedback for any subject, including radiology. Concerns have arisen regarding ChatGPT's data accuracy, currency, and potential biases, especially in specialized fields such as radiology. However, the quality, accessibility, and currency of e-learning content can also be imperfect. To enhance the educational journey for radiology residents, the integration of ChatGPT with expert-curated e-learning resources is imperative for ensuring accuracy and reliability and addressing ethical concerns. While AI is unlikely to entirely supplant traditional radiology study methods, the synergistic combination of AI with traditional e-learning can create a holistic educational experience.

A blended learning approach for teaching thoracic radiology to medical students: a proof-of-concept study.

Introduction: The best way to impart knowledge to medical students is still unclear. Therefore, we designed a blended learning course in thoracic radiology including both "traditional" in-class time as well as online learning modules. The aims were (1) to investigate students' attitudes toward this blended learning approach; and (2) to test whether it improved their knowledge about thoracic radiology. Methods: A prospective study was conducted at the local medical center; 156 fourth-year medical students completed this study. Before and after the course, students had to complete (1) questionnaires to investigate their attitudes (7-point Likert scale); and (2) an objective test to assess their knowledge (multiple-choice/free text questions; results as % of correct answers). Results: Regarding (1), the course led to an improvement in all items compared to baseline, exemplary: interest in thoracic radiology (precourse 4.2 vs. 5.4 postcourse) and the fulfillment of students' expressed requirements regarding the teaching content (4.5 precourse vs. 6.2 postcourse). Furthermore, the great majority (88%) of our participants wished for more online learning offerings in the future. Regarding (2), the course led to improved knowledge on the objective test (precourse: 40% vs. postcourse: 63% correct answers). Conclusion: This feasibility study showed the successful design and implementation of a blended learning approach in thoracic radiology. Furthermore, it revealed medical students' positive attitudes toward this approach and showed an increased knowledge in thoracic radiology. Thus, such approaches might be used to enrich the teaching armamentarium in medical education and to further enhance interest and knowledge in thoracic diseases among medical students.

Bayesian Networks in Radiology.

A Bayesian network is a graphical model that uses probability theory to represent relationships among its variables. The model is a directed acyclic graph whose nodes represent variables, such as the presence of a disease or an imaging finding. Connections between nodes express causal influences between variables as probability values. Bayesian networks can learn their structure (nodes and connections) and/or conditional probability values from data. Bayesian networks offer several advantages: (a) they can efficiently perform complex inferences, (b) reason from cause to effect or vice versa, (c) assess counterfactual data, (d) integrate observations with canonical ("textbook") knowledge, and (e) explain their reasoning. Bayesian networks have been employed in a wide variety of applications in radiology, including diagnosis and treatment planning. Unlike deep learning approaches, Bayesian networks have not been applied to computer vision. However, hybrid artificial intelligence systems have combined deep learning models with Bayesian networks, where the deep learning model identifies findings in medical images and the Bayesian network formulates and explains a diagnosis from those findings. One can apply a Bayesian network's probabilistic knowledge to integrate clinical and imaging findings to support diagnosis, treatment planning, and clinical decision-making. This article reviews the fundamental principles of Bayesian networks and summarizes their applications in radiology. Keywords: Bayesian Network, Machine Learning, Abdominal Imaging, Musculoskeletal Imaging, Breast Imaging, Neurologic Imaging, Radiology Education Supplemental material is available for this article. © RSNA, 2023.

An Interuniversity Competition for Medical Students to Learn Radiology in the Second Life Metaverse.

PURPOSE: The aim of this study was to evaluate an interuniversity competition online to learn radiology held in a 3-D virtual world, the Second Life metaverse, by analyzing the results of the game and students' perceptions. METHODS: Medical students voluntarily participated in teams of four, for 6 weeks, successively covering radiologic anatomy and radiologic semiology of the chest, abdomen, and musculoskeletal. Each week, participants had 4.5 days to study self-learning presentations and 2.5 days to complete an individual multiple-choice test and a team task, the results of which determined the game's ranking. Participants were asked to complete a cognitive-load test, a perception questionnaire, and a postexposure knowledge test. RESULTS: The competition was repeated for 2 years (editions), in 2020 and 2021. Seventy-five of 102 teams (73.5%) registered completed the game; 76% of them included third-year students. The average percentage of correct answers in the individual tests and team tasks was 74.2 ± 15.1 and 71.6 ± 14.7 respectively, without significant differences between both competitions. In general, the experience was valued positively (scores >8 on a 10-point scale). A lower perception score was found in 2021 among students from universities other than the organizing university, showing a positive correlation with the in-game score. CONCLUSIONS: An interuniversity competition in the Second Life metaverse for undergraduate learning radiology is feasible and reproducible. Participating medical students considered it interesting and useful and also identified this activity during the 2 years of the coronavirus disease 2019 pandemic as a playful learning and social interaction experience.