The Role of Large Language Models in Modern Medical Education: Opportunities and Challenges

Mahdavi, Abdollah; Amanzadeh, Masoud; Hamedan, Mahnaz

doi:10.5812/semj-144847

Shiraz E-Med J

2024

DOI: 10.5812/semj-144847

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The Role of Large Language Models in Modern Medical Education: Opportunities and Challenges

Abdollah Mahdavi,

Masoud Amanzadeh,

Mahnaz Hamedan

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Systematic review of ChatGPT accuracy and performance in Iran’s medical licensing exams: A brief report

Keshtkar,

Atighi,

Reihani

2024

Journal of Education and Health Promotion

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ChatGPT has demonstrated significant potential in various aspects of medicine, including its performance on licensing examinations. In this study, we systematically investigated ChatGPT’s performance in Iranian medical exams and assessed the quality of the included studies using a previously published assessment checklist. The study found that ChatGPT achieved an accuracy range of 32–72% on basic science exams, 34–68.5% on pre-internship exams, and 32–84% on residency exams. Notably, its performance was generally higher when the input was provided in English compared to Persian. One study reported a 40% accuracy rate on an endodontic board exam. To establish ChatGPT as a supplementary tool in medical education and clinical practice, we suggest that dedicated guidelines and checklists are needed to ensure high-quality and consistent research in this emerging field.

show abstract

Systematic review of ChatGPT accuracy and performance in Iran’s medical licensing exams: A brief report

Keshtkar,

Atighi,

Reihani

2024

Journal of Education and Health Promotion

View full text Add to dashboard Cite

show abstract

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The Role of Large Language Models in Modern Medical Education: Opportunities and Challenges

Cited by 1 publication

References 14 publications

Systematic review of ChatGPT accuracy and performance in Iran’s medical licensing exams: A brief report

Systematic review of ChatGPT accuracy and performance in Iran’s medical licensing exams: A brief report

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