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.
Authors
- Hülya Vatansev
- Abdurrahman KOÇ
- Abdullah Enes Ataş
- Şebnem Yosunkaya
Institutions
- State Hospital (GB)
- Necmettin Erbakan University (TR)
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