Artificial Intelligence (AI) in Medical Education

Back to themes list

Years in this theme: All years 2026 2025 2024 2023 2022 2021 2020 2019

Download Issue Citations: END BibTex RIS

Articles published in this theme: 314 (scroll down to load remaining articles)

2026

View image

Profiling Human-AI Regulatory Support in Technology-Enhanced Interprofessional Education Among Health Professions Students: Person-Centered Exploratory Study

Fraide A Ganotice Jr, John Ian Wilzon T Dizon, Xiaoai Shen

JMIR Med Educ 2026 (Sep 10); 12:e95772

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Self-Reported Knowledge, Attitudes, Perceptions, and Readiness Regarding AI Among Obstetrics and Gynecology Trainees: Cross-Sectional Study

Maya Alazrae’i, Ismaiel Abu Mahfouz, Zain Al-sarayreh, Jawad Jraisat, Fatima alzahra Abo Abood, Nabil Nwairan, Rakan Lallas

JMIR Form Res 2026 (Sep 10); 10:e97072

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

AI-Assisted Angoff Standard Setting for Multiple-Choice Examinations in Medical Education: Comparative Study

Salah Eldin Kassab, Mariam Shadan, Arina Ziganshina, Shifan Khanday, Hossam Hamdy

JMIR Med Educ 2026 (Sep 09); 12:e98766

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Surgeon touching holographic medical display with heart, brain, and DNA graphics.

View image

The Promise of Ambient AI Technology in Medical Education: Opportunities and Guardrails

Shirin Shafazand, Umar Bowers, Sudha Jayaraman

JMIR Med Inform 2026 (Sep 08); 14:e88725

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Medical team uses advanced technology to review patient data and human anatomy on screens.

View image

Role-Differentiated AI Competencies and Curriculum Implications for Health Professions Education: Qualitative Study

Yuyi Park, Yejin Han, Hyeongjo Kim, Solmoe Ahn, Frederick William Kron, Jihyun Lee

JMIR Med Educ 2026 (Sep 08); 12:e97608

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Dental students reviewing dental chart and x-ray on computer screen

View image

Multimodal Large Language Models for Dental Chart Image Interpretation: Cross-Sectional Benchmarking Study With Students and Clinicians

Ah-Young Cho, Soo-Heang Eo, Mi-Jeong Jeon, Jae-Hoon Kim, Jungjoon Ihm, Deog-Gyu Seo

JMIR Med Educ 2026 (Sep 04); 12:e91809

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Young student with curly hair studying on a laptop in a library

View image

Estimating the Prevalence of Generative AI Use in Medical School Application Essays: Cross-Sectional Study

Nicholas C Spies, Valerie S Ratts, Ian S Hagemann

JMIR Med Educ 2026 (Sep 03); 12:e96673

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Medical professionals in scrubs collaborating in a modern hospital hallway

View image

Scaffolded AI-Supported Problem-Based Learning for Medical Interns: Exploratory Retrospectively Registered Randomized Controlled Evaluation With a Voluntary Feasibility Follow-Up

Zhengqi Zhao, Baijing Wu, Shuyuan Tian, Haigen Hu, Pengyi Hao

JMIR Med Educ 2026 (Sep 03); 12:e95039

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Student interacts with AR character on campus with modern buildings and lake.

View image

What Platform Scores Miss: Multidimensional Evaluation of AI Teaching Agents in Medical Education

Hui Zhang, Lihui Qu, Jianmin Zheng, Yi Xiong, Hongbo Bai, Ruiying Ji, Guohui Liu, Wanling Chen, Zirui Cheng, Youbang Chen, Chun-tao Yang

JMIR Med Educ 2026 (Sep 03); 12:e96819

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Medical professionals in a meeting discussing patient care

View image

Performance of ChatGPT, Claude, and AMBOSS on the European Board of Urology In-Service Assessment and Alignment With the European Association of Urology 2025 Guidelines: Comparative Study

Mohamed Eldaneen, Shaza Hendy, Omar Ramadan, Panagiotis Nikolinakos, Asif Muneer, Hussain M Alnajjar, Karl H Pang

JMIR Form Res 2026 (Sep 02); 10:e100148

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Diverse team collaborating on a laptop in a modern office setting.

View image

Evaluating the Influence of MCAT Scores on Medical Student Selection and Performance Using a Machine Learning Approach: Retrospective Cohort Study

Michele Cherfane, Marc Ghanem, Georges Choueiry, Selim M Nasser, Tamina Elias-Rizk, Sola Aoun Bahous

JMIR Med Educ 2026 (Sep 01); 12:e94197

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Doctor reviews patient data on tablet and chart in hospital room with monitor

View image

Performance and Hallucination Analysis of Large Language Models on European Anesthesiology Examinations: Cross-Sectional Comparative Study

Stefan Andrei, Thibault Giet, Mihai Stefan, Mihai Popescu, Sébastien Tanaka, Philippe Montravers, Aurélie Gouel, Alexis Belouard

JMIR Form Res 2026 (Sep 01); 10:e95859

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Medical team collaborating on laptops during a meeting

View image

Teaching the Atomic Sentence Method for Source-Verified, AI-Assisted Literature Synthesis to Clinical Health Care Professionals: Single-Cohort Feasibility and Acceptability Study

Sung-Wei Liu, Shao-Yin Chu, Hung-Che Wang, Ming-Shinn Lee

JMIR Form Res 2026 (Aug 27); 10:e98343

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Healthcare professionals collaborate around a table, with digital icons representing innovation and data.

View image

Large Language Model–Assisted Thematic Coding in Medical Education Research: Comparative Methodological Study

Alexa DeRegnaucourt, Katherine Miller Jennings, Andrew Zahn, Neal Taliwal, Matthew Kelleher, Christine Yang Zhou, Seth Overla, Sally A Santen, Danielle Elliott Weber, Laurah Turner

JMIR Form Res 2026 (Aug 25); 10:e85572

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Nurses practice patient care on a medical mannequin in a simulation lab.

View image

Speech- and Text-Based Emotion Recognition in Anesthesiology Residents During Critical Incident Simulation Training: Exploratory Observational Study

Sapir Gershov, Itay Bentov, Fadi Mahameed, Aeyal Raz, Shlomi Laufer

JMIR Med Educ 2026 (Aug 21); 12:e96628

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Doctor discusses health with diverse group in a meeting

View image

Inclusive Medical Spanish Education to Address Bias in Clinical Communication: Tutorial on Patient-Informed Module Development

Alexandra Lopez Vera

JMIR Med Educ 2026 (Aug 21); 12:e98398

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Doctor consulting with patient, surrounded by digital representations of diverse individuals, representing healthcare technology.

View image

Digital Standardized Patients: Conceptual Framework for Generative AI–Empowered Medical Education

Chuanlin Jia, Lulu Qi

JMIR Med Educ 2026 (Aug 20); 12:e91050

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Doctor looking at laptop displaying "Medical Students and AI in Healthcare" infographic.

View image

Medical Students’ Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis

Wei Zhang, Jiaxue Han, Xin Han, Hang Xu, Langkun Wang, Tianhai Lin, Ping Tan, Peng Zhang, Xiaonan Zheng

JMIR Med Educ 2026 (Aug 18); 12:e89411

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Woman in a video call with a holographic AI assistant, discussing future technology.

View image

Multiagent Large Language Model Framework for Psychotherapy Fidelity Assessment in Motivational Interviewing and Cognitive Behavioral Therapy Training: Cross-Sectional, Simulation-Based Evaluation Study

Mohammad Amin Kamaleddin, Mina Mirjalili, Reza Barzegar, Nghia Trung Le, Zachary Cote, Olga Winkler, Lisa Burback, Yanbo Zhang, Osmar R Zaiane, Candice Monson, Divya Sharma, Sri Krishnan, Andrew J Greenshaw, Richard Zeifman, Peter Selby, Venkat Bhat

JMIR Med Educ 2026 (Aug 18); 12:e92964

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image