Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study

AI models showed varying strengths across domains, with Grok demonstrating the highest accuracy and consistency in this dataset, particularly for image-based and reasoning-heavy questions. Although ChatGPT-4 remains widely used, newer models like Grok and Copilot also performed competitively. Continuous evaluation is essential as AI tools rapidly evolve.

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Publication Details

Journal
JMIR AI
Published
2026-02-09
DOI
https://doi.org/10.2196/76928
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study

Dania El Natour, Reda Assi, Mohamad Abou Alfa, Toufic Dally et al.
JMIR AI
Artificial Intelligence in Healthcare and Education
article

Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study

Dania El Natour, Reda Assi, Mohamad Abou Alfa, Toufic Dally, Bahaa Bou Dargham, Ahmad Chaaban
article en

Abstract

AI models showed varying strengths across domains, with Grok demonstrating the highest accuracy and consistency in this dataset, particularly for image-based and reasoning-heavy questions. Although ChatGPT-4 remains widely used, newer models like Grok and Copilot also performed competitively. Continuous evaluation is essential as AI tools rapidly evolve.

JMIR AIVol. 5
Beirut Arab University (LB), Hammoud Hospital University Medical Center (LB)
Openalex Percentile: Top 63%
Artificial Intelligence in Healthcare and Education
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