Testing and Assessment in Medical Education

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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Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Yavuz Selim Kıyak, Andrzej A Kononowicz

JMIR Form Res 2025 (Apr 04); 9:e65726

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Knowledge Mapping and Global Trends in Simulation in Medical Education: Bibliometric and Visual Analysis

Hongjun Ba, Lili Zhang, Xiufang He, Shujuan Li

JMIR Med Educ 2025 (Mar 26); 11:e71844

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Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination

Julian Madrid, Philipp Diehl, Mischa Selig, Bernd Rolauffs, Felix Patricius Hans, Hans-Jörg Busch, Tobias Scheef, Leo Benning

JMIR Med Educ 2025 (Mar 21); 11:e58375

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Feedback From Dental Students Using Two Alternate Coaching Methods: Qualitative Focus Group Study

Lulwah Alreshaid, Rana Alkattan

JMIR Med Educ 2025 (Mar 18); 11:e68309

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Evaluation of ChatGPT Performance on Emergency Medicine Board Examination Questions: Observational Study

Mila Pastrak, Sten Kajitani, Anthony James Goodings, Austin Drewek, Andrew LaFree, Adrian Murphy

JMIR AI 2025 (Mar 12); 4:e67696

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Comparison of Learning Outcomes Among Medical Students in Thailand to Determine the Right Time to Teach Forensic Medicine: Retrospective Study

Ubon Chudoung, Wilaipon Saengon, Vichan Peonim, Wisarn Worasuwannarak

JMIR Med Educ 2025 (Feb 10); 11:e57634

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Barriers to and Facilitators of Implementing Team-Based Extracorporeal Membrane Oxygenation Simulation Study: Exploratory Analysis

Joan Brown, Sophia De-Oliveira, Christopher Mitchell, Rachel Carmen Cesar, Li Ding, Melissa Fix, Daniel Stemen, Krisda Yacharn, Se Fum Wong, Anahat Dhillon

JMIR Med Educ 2025 (Jan 24); 11:e57424

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Performance of ChatGPT-3.5 and ChatGPT-4 in the Taiwan National Pharmacist Licensing Examination: Comparative Evaluation Study

Ying-Mei Wang, Hung-Wei Shen, Tzeng-Ji Chen, Shu-Chiung Chiang, Ting-Guan Lin

JMIR Med Educ 2025 (Jan 17); 11:e56850

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Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis

Boxiong Wei

JMIR Med Educ 2025 (Jan 16); 11:e64284

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Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study

Naritsaret Kaewboonlert, Jiraphon Poontananggul, Natthipong Pongsuwan, Gun Bhakdisongkhram

JMIR Med Educ 2025 (Jan 13); 11:e58898

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Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study

Shiben Zhu, Wanqin Hu, Zhi Yang, Jiani Yan, Fang Zhang

JMIR Med Inform 2025 (Jan 10); 13:e63731

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Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis

Yong Zhang, Xiao Lu, Yan Luo, Ying Zhu, Wenwu Ling

JMIR Med Inform 2025 (Jan 09); 13:e63924

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