AIMC Topic: Students, Medical
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Student perceptions of GenAI as a virtual tutor to support collaborative research training for health professionals.
BMC medical education
Jul 1, 2025
BACKGROUND: Research and evaluation skills are essential in healthcare education. Instructors frequently employ collaborative learning models to teach these competencies; however, delivering timely and personalized feedback to multiple groups can be ...
Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation.
BMC medical education
Jul 1, 2025
BACKGROUND: Large language models (LLMs), such as ChatGPT-4 and Gemini, represent a new frontier in surgical education by offering dynamic, interactive learning experiences. Despite their potential, concerns about the accuracy, depth of knowledge, an...
Assessment of Large Language Model Performance on Medical School Essay-Style Concept Appraisal Questions: Exploratory Study.
JMIR medical education
Jun 16, 2025
Bing Chat (subsequently renamed Microsoft Copilot)-a ChatGPT 4.0-based large language model-demonstrated comparable performance to medical students in answering essay-style concept appraisals, while assessors struggled to differentiate artificial int...
Assessing medical students' readiness for artificial intelligence after pre-clinical training.
BMC medical education
Jun 2, 2025
BACKGROUND: Artificial intelligence (AI) is becoming increasingly relevant in healthcare, necessitating healthcare professionals' proficiency in its use. Medical students and practitioners require fundamental understanding and skills development to m...
Assessing ChatGPT adoption in Jordanian medical education: a UTAUT model approach.
BMC medical education
May 22, 2025
BACKGROUND: ChatGPT has shown significant promise in transforming medical education by streamlining research and improving teaching methods. However, its adoption in Middle Eastern medical education has remained underexplored. This study investigated...
Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education.
JMIR human factors
May 22, 2025
Traditional medical education encounters several challenges. The introduction of advanced facial expression recognition technology offers a new approach to address these issues. The aim of the study is to propose a medical education-assisted teaching...
Assessing ChatGPT's Capability as a New Age Standardized Patient: Qualitative Study.
JMIR medical education
May 20, 2025
BACKGROUND: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intellige...
Examining the empathy levels of medical students using CHAID analysis.
BMC medical education
May 19, 2025
BACKGROUND: Empathy is a key factor in the medical field as it strengthens doctor-patient relationships, enhances communication, and leads to improved patient outcomes. This study aims to investigate the empathy levels of medical students, providing ...
Is AI the future of evaluation in medical education?? AI vs. human evaluation in objective structured clinical examination.
BMC medical education
May 1, 2025
BACKGROUND: Objective Structured Clinical Examinations (OSCEs) are widely used in medical education to assess students' clinical and professional skills. Recent advancements in artificial intelligence (AI) offer opportunities to complement human eval...
Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey.
BMC medical education
Apr 29, 2025
INTRODUCTION: Artificial intelligence is a transformative tool for improving healthcare delivery and diagnostic accuracy in the medical and dental fields. This study aims to assess the readiness of future healthcare workers for artificial intelligenc...
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