Testing and Assessment in Medical Education

Assessment of ChatGPT-4 in Family Medicine Board Examinations Using Advanced AI Learning and Analytical Methods: Observational Study

Anthony James Goodings, Sten Kajitani, Allison Chhor, Ahmad Albakri, Mila Pastrak, Megha Kodancha, Rowan Ives, Yoo Bin Lee, Kari Kajitani

JMIR Med Educ 2024 (Oct 08); 10:e56128

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Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study

Zelin Wu, Wenyi Gan, Zhaowen Xue, Zhengxin Ni, Xiaofei Zheng, Yiyi Zhang

JMIR Med Educ 2024 (Oct 03); 10:e52746

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Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

Rimma Perotte, Alyssa Berns, Lana Shaker, Chayapol Ophaswongse, Joseph Underwood, Christina Hajicharalambous

JMIR Form Res 2024 (Sep 23); 8:e53314

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Enhancing Medical Interview Skills Through AI-Simulated Patient Interactions: Nonrandomized Controlled Trial

Akira Yamamoto, Masahide Koda, Hiroko Ogawa, Tomoko Miyoshi, Yoshinobu Maeda, Fumio Otsuka, Hideo Ino

JMIR Med Educ 2024 (Sep 23); 10:e58753

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Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study

Soo-Hyuk Yoon, Seok Kyeong Oh, Byung Gun Lim, Ho-Jin Lee

JMIR Med Educ 2024 (Sep 16); 10:e56859

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Experiences of Using a Digital Guidance and Assessment Tool (the Technology-Optimized Practice Process in Nursing Application) During Clinical Practice in a Nursing Home: Focus Group Study Among Nursing Students

Hege Mari Johnsen, Andréa Aparecida Gonçalves Nes, Kristine Haddeland

JMIR Nursing 2024 (Sep 10); 7:e48810

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Integration of ChatGPT Into a Course for Medical Students: Explorative Study on Teaching Scenarios, Students’ Perception, and Applications

Anita V Thomae, Claudia M Witt, Jürgen Barth

JMIR Med Educ 2024 (Aug 22); 10:e50545

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Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial

Wenyi Gan, Jianfeng Ouyang, Hua Li, Zhaowen Xue, Yiming Zhang, Qiu Dong, Jiadong Huang, Xiaofei Zheng, Yiyi Zhang

J Med Internet Res 2024 (Aug 20); 26:e57037

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Influence of Model Evolution and System Roles on ChatGPT’s Performance in Chinese Medical Licensing Exams: Comparative Study

Shuai Ming, Qingge Guo, Wenjun Cheng, Bo Lei

JMIR Med Educ 2024 (Aug 13); 10:e52784

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Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study

Harry B Burke, Albert Hoang, Joseph O Lopreiato, Heidi King, Paul Hemmer, Michael Montgomery, Viktoria Gagarin

JMIR Med Educ 2024 (Jul 25); 10:e56342

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Appraisal of ChatGPT’s Aptitude for Medical Education: Comparative Analysis With Third-Year Medical Students in a Pulmonology Examination

Hela Cherif, Chirine Moussa, Abdel Mouhaymen Missaoui, Issam Salouage, Salma Mokaddem, Besma Dhahri

JMIR Med Educ 2024 (Jul 23); 10:e52818

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Use of Multiple-Choice Items in Summative Examinations: Questionnaire Survey Among German Undergraduate Dental Training Programs

Lena Rössler, Manfred Herrmann, Annette Wiegand, Philipp Kanzow

JMIR Med Educ 2024 (Jun 27); 10:e58126

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A Use Case for Generative AI in Medical Education

Tejas C Sekhar, Yash R Nayak, Emily A Abdoler

JMIR Med Educ 2024 (Jun 07); 10:e56117

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Authors’ Reply: A Use Case for Generative AI in Medical Education

Tricia Pendergrast, Zachary Chalmers

JMIR Med Educ 2024 (Jun 07); 10:e58370

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Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Raphaella Lambert, Zi-Yi Choo, Kelsey Gradwohl, Liesl Schroedl, Arlene Ruiz De Luzuriaga

JMIR Dermatol 2024 (May 16); 7:e55898

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Training Family Medicine Residents in Dermoscopy Using an e-Learning Course: Pilot Interventional Study

Pauline Friche, Lionel Moulis, Aurélie Du Thanh, Olivier Dereure, Claire Duflos, Francois Carbonnel

JMIR Form Res 2024 (May 13); 8:e56005

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Exploring the Performance of ChatGPT Versions 3.5, 4, and 4 With Vision in the Chilean Medical Licensing Examination: Observational Study

Marcos Rojas, Marcelo Rojas, Valentina Burgess, Javier Toro-Pérez, Shima Salehi

JMIR Med Educ 2024 (Apr 29); 10:e55048

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Performance of GPT-4V in Answering the Japanese Otolaryngology Board Certification Examination Questions: Evaluation Study

Masao Noda, Takayoshi Ueno, Ryota Koshu, Yuji Takaso, Mari Dias Shimada, Chizu Saito, Hisashi Sugimoto, Hiroaki Fushiki, Makoto Ito, Akihiro Nomura, Tomokazu Yoshizaki

JMIR Med Educ 2024 (Mar 28); 10:e57054

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Development of a Clinical Simulation Video to Evaluate Multiple Domains of Clinical Competence: Cross-Sectional Study

Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Daiki Yokokawa, Yu Yamamoto, Hiroyuki Kobayashi, Taro Shimizu, Yasuharu Tokuda

JMIR Med Educ 2024 (Feb 29); 10:e54401

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Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study

Annika Meyer, Janik Riese, Thomas Streichert

JMIR Med Educ 2024 (Feb 08); 10:e50965

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