Performance of Language Models on the Family Medicine In-Training Exam

ChatGPT 4.0 was the only LLM that outperformed the family medicine postgraduate year 3 residents' national averages on the 2022 ITE, providing robust explanations and demonstrating its potential use in delivering background information on common medical concepts that appear on board exams.

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Publication Details

Journal
Family Medicine
Published
2024-08-12
DOI
https://doi.org/10.22454/fammed.2024.233738
Citations
13
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.56
Controls
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article

Performance of Language Models on the Family Medicine In-Training Exam

Karim Hanna, Rahul Mhaskar, Rana E. Hanna, Logan R. Smith
13 citations
Family Medicine
Artificial Intelligence in Healthcare and Education
1.56
article

Performance of Language Models on the Family Medicine In-Training Exam

Karim Hanna, Rahul Mhaskar, Rana E. Hanna, Logan R. Smith
article en
13 citations

Abstract

ChatGPT 4.0 was the only LLM that outperformed the family medicine postgraduate year 3 residents' national averages on the 2022 ITE, providing robust explanations and demonstrating its potential use in delivering background information on common medical concepts that appear on board exams.

Family MedicineVol. 56(9)
University of South Florida (US)
Quality Education
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.56
DOIOpen Access PDFOpenAlex
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Performance of Language Models on the Family Medicine In-Training Exam — Karim Hanna, Rahul Mhaskar, et al. · Family Medicine (2024) | TGRS Research Map | TGRS