Artificial Intelligence (AI) in Medical Education

Implementing Large Language Models to Support Misconception-Based Collaborative Learning in Health Care Education

Brandon C J Cheah, Shefaly Shorey, Jun Hong Ch'ng, Chee Wah Tan

JMIR Med Educ 2026 (Jan 16); 12:e81875

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Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study

Hayoung K Donnelly, David Mandell, Sy Hwang, Emily Schriver, Ugurcan Vurgun, Graydon Neill, Esha Patel, Megan E Reilly, Michael Steinberg, Amber Calloway, Robert Gallop, Maria A Oquendo, Gregory K Brown, Danielle L Mowery

JMIR Med Educ 2026 (Jan 16); 12:e75125

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AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations

Zineb Zouakia, Emmanuel Logak, Alan Szymczak, Jean-Philippe Jais, Anita Burgun, Rosy Tsopra

JMIR Med Educ 2026 (Jan 15); 12:e82116

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Evaluation of a Problem-Based Learning Program’s Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study

Yuma Ota, Yoshikazu Asada, Saori Kubo, Takeshi Kanno, Machiko Saeki Yagi, Yasushi Matsuyama

JMIR Med Educ 2026 (Jan 14); 12:e84535

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From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era

Weiping Cao, Qing Zhang, Jialin Liu, Siru Liu

J Med Internet Res 2026 (Jan 14); 28:e86550

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Adaptation of the Japanese Version of the 12-Item Attitudes Towards Artificial Intelligence Scale for Medical Trainees: Multicenter Development and Validation Study

Hirohisa Fujikawa, Hirotake Mori, Kayo Kondo, Yuji Nishizaki, Yuichiro Yano, Toshio Naito

JMIR Med Educ 2026 (Jan 14); 12:e81986

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GPT-4o and OpenAI o1 Performance on the 2024 Spanish Competitive Medical Specialty Access Examination: Cross-Sectional Quantitative Evaluation Study

Pau Benito, Mikel Isla-Jover, Pablo González-Castro, Pedro José Fernández Esparcia, Manuel Carpio, Iván Blay-Simón, Pablo Gutiérrez-Bedia, Maria J Lapastora, Beatriz Carratalá, Carlos Carazo-Casas

JMIR Med Educ 2026 (Jan 12); 12:e75452

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AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors

Chunqing Li, Sian Hsiang-Te Tsuei, Hongbin Wu

JMIR Med Educ 2026 (Jan 06); 12:e80604

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Comparing AI-Assisted Problem-Solving Ability With Internet Search Engine and e-Books in Medical Students With Variable Prior Subject Knowledge: Cross-Sectional Study

Ajiith Xavier, Syed Shariq Naeem, Waseem Rizwi, Hiramani Rabha

JMIR Med Educ 2026 (Jan 06); 12:e81264

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AI in Psychiatric Education and Training From 2016 to 2024: Scoping Review of Trends

Michael James Weightman, Anna Chur-Hansen, Scott Richard Clark

JMIR Med Educ 2025 (Dec 31); 11:e81517

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Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study

Hisaya Sudo, Yoko Noborimoto, Jun Takahashi

JMIR Med Educ 2025 (Dec 30); 11:e85614

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Using AI-Based Virtual Simulated Patients for Training in Psychopathological Interviewing: Cross-Sectional Observational Study

Daniel García-Torres, César Fernández, José Joaquín Mira, Alexandra Morales, María Asunción Vicente

JMIR Med Educ 2025 (Dec 23); 11:e78857

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Performance of DeepSeek-R1, ChatGPT (GPT-o3-mini), and Gemini 2.0 Flash on German Medical Multiple-Choice Questions: Comparative Evaluation

Annika Meyer, Yassin Karay, Andrea U Steinbicker, Thomas Streichert, Remco Overbeek

JMIR Form Res 2025 (Dec 18); 9:e77357

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Physical Examination Identification in Medical Education Videos: Zero-Shot Multimodal AI With Temporal Sequence Optimization Study

Shinyoung Kang, Michael Holcomb, David Hein, Ameer Hamza Shakur, Thomas Dalton, Andrew Jamieson

JMIR AI 2025 (Dec 18); 4:e76586

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Image Generation of Common Dermatological Diagnoses by Artificial Intelligence: Evaluation Study of the Potential for Education and Training Purposes

Sarah Kooper-Johnson, Subin Lim, Jumana Aldhalaan, Gabriela Cobos, Vijay Kodumudi, Daniel S Loo, Joshua Mervis, Madalyn Petrillo, Sarah N Robinson, Bichchau Michelle Nguyen

JMIR Dermatol 2025 (Dec 16); 8:e72371

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Multiple Large Language Models’ Performance on the Chinese Medical Licensing Examination: Quantitative Comparative Study

Yanyu Diao, Mengyuan Wu, Jingwen Xu, Yifeng Pan

JMIR Hum Factors 2025 (Dec 16); 12:e77978

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Incorporating Generative AI Into a Health Informatics Curriculum to Build 21st Century Competencies: Multisite Pre-Post Study

Freddie Seba, Miriam Isola, Laura Mills, Mohan Zalake, Jacob Krive

JMIR Med Inform 2025 (Dec 16); 13:e76507

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Stakeholder Criteria for Trust in Artificial Intelligence–Based Computer Perception Tools in Health Care: Qualitative Interview Study

Ansh Rai, Meghan E Hurley, John Herrington, Eric A Storch, Casey J Zampella, Julia Parrish-Morris, Anika Sonig, Gabriel Lázaro-Muñoz, Kristin Kostick-Quenet

J Med Internet Res 2025 (Dec 12); 27:e78757

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Large Language Model–Based Patient Simulation to Foster Communication Skills in Health Care Professionals: User-Centered Development and Usability Study

Ahmed Elhilali, Andy Suy-Huor Ngo, Daniel Reichenpfader, Kerstin Denecke

JMIR Med Educ 2025 (Dec 12); 11:e81271

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Quantifying Emergency Medicine Residency Learning Curves Using Natural Language Processing: Retrospective Cohort Study

Carl Preiksaitis, Joshua Hughes, Rana Kabeer, William Dixon, Christian Rose

JMIR Med Educ 2025 (Dec 09); 11:e82326

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