Theme Issue: ChatGPT and Generative Language Models in Medical Education

Impact of Prompt Engineering on the Performance of ChatGPT Variants Across Different Question Types in Medical Student Examinations: Cross-Sectional Study

Ming-Yu Hsieh, Tzu-Ling Wang, Pen-Hua Su, Ming-Chih Chou

JMIR Med Educ 2025 (Oct 01); 11:e78320

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Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study

Fabio Dennstädt, Max Schmerder, Elena Riggenbach, Lucas Mose, Katarina Bryjova, Nicolas Bachmann, Paul-Henry Mackeprang, Maiwand Ahmadsei, Dubravko Sinovcic, Paul Windisch, Daniel Zwahlen, Susanne Rogers, Oliver Riesterer, Martin Maffei, Eleni Gkika, Hathal Haddad, Jan Peeken, Paul Martin Putora, Markus Glatzer, Florian Putz, Daniel Hoefler, Sebastian M Christ, Irina Filchenko, Janna Hastings, Roberto Gaio, Lawrence Chiang, Daniel M Aebersold, Nikola Cihoric

J Med Internet Res 2025 (Sep 23); 27:e69752

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Performance Evaluation of 18 Generative AI Models (ChatGPT, Gemini, Claude, and Perplexity) in 2024 Japanese Pharmacist Licensing Examination: Comparative Study

Hiroyasu Sato, Katsuhiko Ogasawara, Hidehiko Sakurai

JMIR Med Educ 2025 (Sep 18); 11:e76925

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Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency

Yang Liu, Chujun Shi, Liping Wu, Xiule Lin, Xiaoqin Chen, Yiying Zhu, Haizhu Tan, Weishan Zhang

JMIR Med Educ 2025 (Aug 29); 11:e73419

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Performance of DeepSeek and GPT Models on Pediatric Board Preparation Questions: Comparative Evaluation

Masab Mansoor, Andrew Ibrahim, Ali Hamide

JMIR AI 2025 (Aug 27); 4:e76056

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Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Ethan Bernstein, Anya Ramsamooj, Kelsey L Millar, Zachary C Lum

JMIR AI 2025 (Aug 27); 4:e68603

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Generative AI as Third Agent: Large Language Models and the Transformation of the Clinician-Patient Relationship

Hugo de O Campos, Daniel Wolfe, Hongzhou Luan, Ida Sim

J Particip Med 2025 (Aug 11); 17:e68146

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ChatGPT-4’s Level of Dermatological Knowledge Based on Board Examination Review Questions and Bloom’s Taxonomy

Hansen Tai, Carrie Kovarik

JMIR Dermatol 2025 (Aug 07); 8:e74085

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Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study

Hiroki Maruyama, Yoshitaka Toyama, Kentaro Takanami, Kei Takase, Takashi Kamei

JMIR Med Educ 2025 (Jul 30); 11:e69313

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Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review

Julien Prégent, Van-Han-Alex Chung, Inès El Adib, Marie Désilets, Alexandre Hudon

JMIR Med Educ 2025 (Jul 28); 11:e75238

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Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study

Raúl Ferrer-Peña, Silvia Di-Bonaventura, Alberto Pérez-González, Alfredo Lerín-Calvo

JMIR Form Res 2025 (Jul 23); 9:e66126

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Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Pål Joranger, Sara Rivenes Lafontan, Asgeir Brevik

JMIR Form Res 2025 (Jul 03); 9:e73248

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Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Zhong Yao, Liantan Duan, Shuo Xu, Lingyi Chi, Dongfang Sheng

JMIR Med Inform 2025 (Jun 27); 13:e69485

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Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study

Joseph Cross, Tarron Kayalackakom, Raymond E Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Sheetal Naik, Jillwin Joseph, Nikhilesh Anand, Abdalla Mohammed, Asjah Johnson, Eliran Cohen, Teniola Adeniji, Aisling Nnenna Nnaji, Julia Elizabeth George

JMIR Med Educ 2025 (May 20); 11:e63353

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Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Ecem Ozkan, Aysun Tekin, Mahmut Can Ozkan, Daniel Cabrera, Alexander Niven, Yue Dong

JMIR Med Educ 2025 (May 12); 11:e58801

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The Advanced Reasoning Capabilities of Large Language Models for Detecting Contraindicated Options in Medical Exams

Yuichiro Yano, Mizuki Ohashi, Taiju Miyagami, Hirotake Mori, Yuji Nishizaki, Hiroyuki Daida, Toshio Naito

JMIR Med Inform 2025 (May 12); 13:e68527

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Designing Personalized Multimodal Mnemonics With AI: A Medical Student’s Implementation Tutorial

Noor Elabd, Zafirah Muhammad Rahman, Salma Ibrahim Abu Alinnin, Samiyah Jahan, Luciana Aparecida Campos, Ovidiu Constantin Baltatu

JMIR Med Educ 2025 (May 08); 11:e67926

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Authors’ Reply: Enhancing AI-Driven Medical Translations: Considerations for Language Concordance

Joyce Teng, Roberto Andres Novoa, Maria Alexandrovna Aleshin, Jenna Lester, Kira Seiger, Fiatsogbe Dzuali, Roxana Daneshjou

JMIR Med Educ 2025 (Apr 11); 11:e71721

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Enhancing AI-Driven Medical Translations: Considerations for Language Concordance

Stephanie Quon, Sarah Zhou

JMIR Med Educ 2025 (Apr 11); 11:e70420

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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

Olena Bolgova, Inna Shypilova, Volodymyr Mavrych

JMIR Med Educ 2025 (Apr 10); 11:e67244

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