AIMC Topic: Education, Medical
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A comparative analysis of DeepSeek R1, DeepSeek-R1-Lite, OpenAi o1 Pro, and Grok 3 performance on ophthalmology board-style questions.
Scientific reports
Jul 2, 2025
The ability of large language models (LLMs) to accurately answer medical board-style questions reflects their potential to benefit medical education and real-time clinical decision-making. With the recent advance to reasoning models, the latest LLMs ...
Preparing Tomorrow's Physicians: The Case for Machine Learning in Medical Education.
Journal of medical systems
Jun 11, 2025
Machine learning should be integrated into medical curricula to prepare physicians-in-training for 21st-century practice conditions. This comment proposes practical implementation strategies that build upon existing educational frameworks by drawing ...
Learning to care, caring to learn: the evolving nature of medical education.
The New Zealand medical journal
May 23, 2025
As Otago Medical School marks its 150th anniversary, this paper reflects on what it means to train doctors for both today and the decades ahead. It traces the school's evolution from its nineteenth-century foundations through key innovations in curri...
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...
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...
The role of artificial intelligence in medical education: an evaluation of Large Language Models (LLMs) on the Turkish Medical Specialty Training Entrance Exam.
BMC medical education
Apr 25, 2025
OBJECTIVE: To evaluate the performance of advanced large language models (LLMs)-OpenAI-ChatGPT 4, Google AI-Gemini 1.5 Pro, Cohere-Command R + and Meta AI-Llama 3 70B on questions from the Turkish Medical Specialty Training Entrance Exam (2021, 1st s...
Integrating AI in medical education: a comprehensive study of medical students' attitudes, concerns, and behavioral intentions.
BMC medical education
Apr 23, 2025
BACKGROUND: To analyze medical students' perceptions, trust, and attitudes toward artificial intelligence (AI) in medical education, and explore their willingness to integrate AI in learning and teaching practices.
Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination.
Scientific reports
Apr 23, 2025
This study aims to compare and evaluate the performance of GPT-3.5, GPT-4, and GPT-4o in the 2020 and 2021 Chinese National Medical Licensing Examination (NMLE), exploring their potential value in medical education and clinical applications. Six hund...
Practical applications of artificial intelligence chatbots in obstetrics and gynecology medical education.
American journal of obstetrics and gynecology
Apr 18, 2025
Generative artificial intelligence chatbots are sophisticated conversational artificial intelligence tools that have the capability to interpret natural language inputs and produce responses that closely resemble human speech. Artificial intelligence...
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