Artificial Intelligence (AI) in Medical Education

Articles published in 2025 in this theme: 111 (scroll down to load remaining articles)

2025

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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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Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study

Christos Chatzichristos, Georgios Chatzichristos, Isabelle Borremans, Stefaan Gruyaert, Ilse De Vos, Maarten De Vos, Femke De Backere

J Med Internet Res 2025 (Dec 08); 27:e76709

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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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