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Vol. 16 No. 6 (2025): Special Issue on the use of artificial intelligence in health professions education

View Vol. 16 No. 6 (2025): Special Issue on the use of artificial intelligence in health professions education

DOI: https://doi.org/10.36834/cmej.v16i6

Published: 2025-12-22

Editorial

An Editor-in-Chief’s farewell

Marcel F D'Eon

1-2
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AI in health professions education

Cindy Schmidt

3-6
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Original Research

OSCEai: personalized interactive learning for undergraduate medical education

Eddie Guo, Rashi Ramchandani, Ye-Jean Park, Mehul Gupta

7-14
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Investigating the threat of AI to undergraduate medical school admissions: a study of its potential impact on the rating of applicant essays

Joshua Choi, Jenny Zhao, Thuy-Anh Ngo, Lawrence Grierson

15-20
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Brief Reports

Re-evaluating the role of personal statements in pediatric residency admissions in the era of artificial intelligence: comparing faculty ratings of human and AI-generated statements

Brittany Curry, Amrit Kirpalani, Mia Remington, Tamara Van Hooren, Ye Shen, Erin Peebles

21-24
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Black Ice

Six ways to get a grip on computer vision syndrome in medical school examinations

Amir-Ali Golrokhian-Sani, Maya Morcos, Chloe Gottlieb

25-28
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You Should Try This

OSCEai dermatology: augmenting dermatologic medical education with Large Language Model GPT-4

Ye-Jean Park, Eddie Guo, Muskaan Sachdeva, Bryan Ma, Sara Mirali, Brian Rankin, Nikki Nathanielsz, Abrahim Abduelmula, Tatiana Lapa, Mehul Gupta, Trevor Champagne

29-31
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AI that teaches: an evidence-based GPT model to improve medical student understanding of pulmonary function tests

Anusha Aiyar, Henry Moon

32-35
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Canadiana

Advancing AI literacy in Canadian orthopedic education: a framework for equitable and inclusive training

Rahul Kumar, Rohan Phadke, Samer Salman

36-38
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Commentary and Opinions

Artificial Intelligence can transform formative assessment in medical education

Joshua Feldman, Christopher Gilchrist, Fok-Han Leung

39-40
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OpenAI’s Sora in medical education: artificial videos in the classroom of the future

Ethan Waisberg, Joshua Ong, Rahul Kumar, Mouayad Masalkhi, Andrew G Lee

41-43
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Generative artificial intelligence in medical education: moving from potential to practice: when AI surpasses MDs

Leo Morjaria, Matthew Sibbald

44-45
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AI literacy starts at the bedside: a call for grassroots and reflective approaches in medical education

Austin Solak, Urmi Sheth, Ragav Chona, Allie Jones, Nikoo Aghaei, Ricky Hu

46-47
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The impact of artificial intelligence on case-based learning during pre-clerkship education

Gregory W Chai, Andreea C Murariu, Fok-Han Leung

48-49
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Between stethoscope and algorithm: is Canadian medical education ready for AI-enabled care?

Amal Khan

50-51
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Enhancing equity in medical school interview prep with ChatGPT

Kyra Yuan Li, William Tien Tran, Farah Hashemi-Sabet, Fok-Han Leung

52-53
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Works-in-Progress

Compassionate primary care training and practice in the digital technology sphere: a scoping review protocol

Asiana Elma, Vyshnave Jeyabalan , Emma Wilson, Tavis Apramian, Jeffrey Myers, Giovanna Sirianni

54-58
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- Supplemental Data

Letters to the Editor

Writing and artificial intelligence: apprivoiser one’s own paper

Shigeki Matsubara

59
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Bridging global dermatology education gaps: the promise and challenges of leveraging AI-driven medical training to advance equity and personalization with OSCEai dermatology

Sophia Ma, Tarek Zieneldien, Farah Succaria

60-61
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Assessment in medical education: rethinking the reasons for introducing AI

Shigeki Matsubara

62
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