Artificial Intelligence (AI) in Medical Education

The Validity of Generative Artificial Intelligence in Evaluating Medical Students in Objective Structured Clinical Examination: Experimental Study

Masashi Yokose, Takanobu Hirosawa, Tetsu Sakamoto, Ren Kawamura, Yudai Suzuki, Yukinori Harada, Taro Shimizu

JMIR Form Res 2025 (Dec 04); 9:e79465

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Feasibility of a Specialized Large Language Model for Postgraduate Medical Examination Preparation: Single-Center Proof-Of-Concept Study

Yun Hao Leong, Lathiga Nambiar, Victoria Y J Tay, Sui An Lie, Ke Yuhe

JMIR Form Res 2025 (Dec 03); 9:e77580

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What Are the Opportunities and Challenges of Using AI in Medical Education in Vietnam?

Trung Anh Nguyen, Thanh Binh Nguyen, Duy Cuong Nguyen, Anh Dung Vu, Khanh Linh Dang, Nhu Quynh Le, Duy Anh Ngo, Dang Kien Nguyen, Van Thuan Hoang, Thanh Binh Ngo

JMIR Med Educ 2025 (Dec 02); 11:e77817

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Enhancing Large Language Models for Improved Accuracy and Safety in Medical Question Answering: Comparative Study

Dingqiao Wang, Jinguo Ye, Jingni Li, Jiangbo Liang, Qikai Zhang, Qiuling Hu, Caineng Pan, Dongliang Wang, Zhong Liu, Wen Shi, Mengxiang Guo, Fei Li, Wei Du, Ying-Feng Zheng

JMIR Med Educ 2025 (Dec 02); 11:e70190

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Evaluation of an AI-Based Chatbot Providing Real-Time Feedback in Communication Training for Mental Health Care Professionals: Proof-of-Concept Observational Study

Lea Herschbach, Teresa Festl-Wietek, Christian Stegemann-Philipps, Alessandra Sonanini, Bernd Herrmann, Rebecca Erschens, Anne Herrmann-Werner, Friederike Holderried

J Med Internet Res 2025 (Nov 28); 27:e82818

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Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study

Beier Qi, Yan Zheng, Yuanyuan Wang, Li Xu

JMIR Form Res 2025 (Nov 28); 9:e79534

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AI-Enhanced Social Robotic Versus Computer-Based Virtual Patients for Clinical Reasoning Training in Medical Education: Observational Crossover Cohort Study

Alexander Borg, Jonathan Schiött, William Ivegren, Cidem Gentline, Viking Huss, Anna Hugelius, Benjamin Jobs, Fabricio Espinosa, Mini Ruiz, Samuel Edelbring, Carina Georg, Gabriel Skantze, Ioannis Parodis

J Med Internet Res 2025 (Nov 27); 27:e82541

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Large Language Models in Critical Care Medicine: Scoping Review

Tongyue Shi, Jun Ma, Zihan Yu, Haowei Xu, Rongxin Yang, Minqi Xiong, Meirong Xiao, Yilin Li, Huiying Zhao, Guilan Kong

JMIR Med Inform 2025 (Nov 24); 13:e76326

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Assessing Pharmacists’ Use and Perception of AI Chatbots in Pharmacy Practice: Cross-Sectional Survey Study

Anly Li, Amy Heck Sheehan, Christopher Giuliano, Paul Dobry, Paul Walker, Jennifer Philips, Joseph Jordan

JMIR Med Educ 2025 (Nov 21); 11:e71767

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Web-Based AI-Driven Virtual Patient Simulator Versus Actor-Based Simulation for Teaching Consultation Skills: Multicenter Randomized Crossover Study

Edward G Tyrrell, Sardip K Sandhu, Kathryn Berry, Suzan F Ghannam, Sarah A Lewis, Daniel Crowfoot, Gurvinder Singh Sahota, Julie Carson, Emma E Wilson, Jaspal Taggar

JMIR Form Res 2025 (Nov 20); 9:e71667

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AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers

Eric M Jones, Jane D Newman, Boyun Kim, Emily J Fogle

JMIR Med Educ 2025 (Nov 20); 11:e80084

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Evaluating ChatGPT-4o as an Educational Support Tool for the Emergency Management of Dental Trauma: Randomized Controlled Study Among Students

Franziska Haupt, Tina Rödig, Paula Liersch

JMIR Med Educ 2025 (Nov 20); 11:e80576

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How AI Is Transforming Medical Education: Bibliometric Analysis

Youyang Wang, Chuheng Chang, Wen Shi, Huiting Liu, Xiaoming Huang, Yang Jiao

JMIR Med Educ 2025 (Nov 18); 11:e75911

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Evaluating the Performance of DeepSeek-R1 and DeepSeek-V3 Versus OpenAI Models in the Chinese National Medical Licensing Examination: Cross-Sectional Comparative Study

Weiping Wang, Yuchen Zhou, Jingxuan Fu, Ke Hu

JMIR Med Educ 2025 (Nov 14); 11:e73469

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Large Language Models for the National Radiological Technologist Licensure Examination in Japan: Cross-Sectional Comparative Benchmarking and Evaluation of Model-Generated Items Study

Toshimune Ito, Toru Ishibashi, Tatsuya Hayashi, Shinya Kojima, Kazumi Sogabe

JMIR Med Educ 2025 (Nov 13); 11:e81807

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Perceptions and Intentions to Use Generative AI Among First-Year Medical Students in Japan: Cross-Sectional Survey Study

Hiroshi Tajima, Hajime Kasai, Kiyoshi Shikino, Ikuo Shimizu, Shoichi Ito

JMIR Med Educ 2025 (Nov 13); 11:e77552

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Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients: Scoping Review

Jianwen Zeng, Wenhao Qi, Shiying Shen, Xin Liu, Sixie Li, Bing Wang, Chaoqun Dong, Xiaohong Zhu, Yankai Shi, Xiajing Lou, Bingsheng Wang, Jiani Yao, Guowei Jiang, Qiong Zhang, Shihua Cao

J Med Internet Res 2025 (Nov 13); 27:e79091

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Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey

Anna Fußhöller, Fabian Lechner, Nadine Schlicker, Felix Muehlensiepen, Andreas Mayr, Sebastian Kuhn, Martin Christian Hirsch, Johannes Knitza

JMIR Form Res 2025 (Nov 11); 9:e81484

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Performance of the Large Language Models on the Chinese National Nurse Licensure Examination: Cross-Sectional Evaluation Study

Longhui Xu, Xiao Cong, Renxiu Wang, Na Li, Xinru Liu, Ronghui Wang, Cuiping Xu

JMIR Med Inform 2025 (Nov 03); 13:e78279

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Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?

Juan S Izquierdo-Condoy, Marlon Arias-Intriago, Andrea Tello-De-la-Torre, Felix Busch, Esteban Ortiz-Prado

J Med Internet Res 2025 (Nov 03); 27:e76340

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