This study evaluated a large language model (LLM) (Gemini Advanced) for creating aligned problem-based learning (PBL) materials. The LLM improved the alignment of the clinical vignette with learning goals. The LLM also restructured the tutor guide and added thought-provoking questions. The LLM guide was well organized and informative, but the original vignette was considered more educational level-appropriate. Although the LLM could not generate visuals, AI can improve PBL materials, especially when combined with human expertise.

Immunohistochemistry of mammary Paget’s disease. Cytokeratin 7, GATA3, and HER2 are sensitive markers

Learning clinical skills in a large group of undergraduate medical students is challenging. Innovative technology-based modalities are being evaluated to complement limited hospital rotations. We determined the effectiveness of clinical skills-related audiovisual (AV) aids embedded in electronic-problem-based learning (PBL) sessions, in terms of students’ feedback and formative Objective Structured Clinical Examinations (OSCE) grades. This mixed-method study was conducted during the Cardiovascular System module in year 3 of the Bachelor of Medicine, Bachelor of Surgery program. The AV aids, mainly consisting of abnormal chest auscultation sounds, were linked to the cases for the intervention group. The control group received only a description of clinical signs. Sessions were conducted using an intranet platform. At the end of the module, feedback was obtained from intervention group students and faculty using a self-administered questionnaire. The learning was compared between intervention and control groups through an OSCE. Finally, focus group interviews were conducted to explore factors underlying deviation from the expected results. Out of 110 intervention group students, 86 (78%) responded. The students appreciated the inclusion of AV aids, as suggested by a high average satisfaction score of 4.2 (SD 0.8). They agreed that, apart from being appropriate and relevant, the aids improved the learning environment and engagement in the process. The tutors also gave a similar feedback. However, no difference in the OSCE scores was found between control and intervention groups. The study indicates that inclusion of AV aids improved students’ engagement and classroom environment in electronic-PBL sessions, but did not improve diagnostic abilities based on the learned clinical skills.

Objectives: To assess the emotional responses and coping strategies of medical students during the lockdown and social distancing measures implemented during the coronavirus disease -19 (COVID-19) pandemic. Methods: This cross‑sectional study is based on data collected from undergraduate medical students at the College of Medicine, Alfaisal University Riyadh, Saudi Arabia, during the fall semester of academic year 2020-2021. All the participants completed a self-administered online questionnaire consisting of 3 parts: demographic information, emotional response scale, and 14-item, adapted brief coping orientation to problems experienced inventory to determine the use of avoidant or approach coping strategies. Coping and emotional response scores were compared using t-test. Linear regression analysis was also performed. Results: A total of 261 students from all years were included. Overall scores were higher for avoidant coping strategies. The use of avoidant coping strategies was significantly higher in females (p=0.03) and in preclinical students (p<0.001). Preclinical students had a higher mean score for anger (p=0.002). Conversely, students in the clinical phase had higher scores for anxiety (p=0.005) and sadness (p=0.027). The regression analysis of emotional responses and coping strategies suggests that avoidant coping is a predictor of anger (p=0.003) and sadness (p=0.005). Conclusion: Interventions to train medical students in the use of more productive and effective coping strategies may reduce negative emotional responses linked to the present COVID-19 pandemic and in the future.

Molecular subtyping of mammary Paget’s disease using immunohistochemistry