Performance of large language models on sleep medicine certification examination: a comprehensive multi-model analysis

Contemporary LLMs demonstrate substantially improved performance compared to previous evaluations, with premium models exceeding the 80% reference benchmark. However, these results reflect performance on a certification-aligned question bank rather than the official board examination itself. The significant performance advantage of paid versions raises important considerations regarding equitable access to AI-enhanced medical education and clinical decision support tools.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-03-02
DOI
https://doi.org/10.3389/fmed.2026.1761025
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance of large language models on sleep medicine certification examination: a comprehensive multi-model analysis

Hülya Vatansev, Abdurrahman KOÇ, Abdullah Enes Ataş, Şebnem Yosunkaya
Frontiers in Medicine
Artificial Intelligence in Healthcare and Education
article

Performance of large language models on sleep medicine certification examination: a comprehensive multi-model analysis

Hülya Vatansev, Abdurrahman KOÇ, Abdullah Enes Ataş, Şebnem Yosunkaya
article en

Abstract

Contemporary LLMs demonstrate substantially improved performance compared to previous evaluations, with premium models exceeding the 80% reference benchmark. However, these results reflect performance on a certification-aligned question bank rather than the official board examination itself. The significant performance advantage of paid versions raises important considerations regarding equitable access to AI-enhanced medical education and clinical decision support tools.

Frontiers in MedicineVol. 13
State Hospital (GB), Necmettin Erbakan University (TR)
Quality Education
Openalex Percentile: Top 39%
Artificial Intelligence in Healthcare and Education
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