Assessment of large language models in musculoskeletal radiological anatomy: A comparative study with radiologists
While LLMs, particularly ChatGPT-4o, show strong performance in text-based anatomical questions, their accuracy in image-based musculoskeletal radiology remains limited compared to human radiologists. These findings suggest that LLMs can serve as supplementary tools in education but require further optimization, particularly for visual interpretation tasks, before clinical implementation.
Authors
- Ebru Kul Baysan (ORCID: https://orcid.org/0000-0002-7575-0207)
- Ali Şalbaş (ORCID: https://orcid.org/0000-0002-6157-6367)
Institutions
- Izmir Atatürk Eğitim ve Araştırma Hastanesi (TR)
Publication Details
- Journal
- Joint Diseases and Related Surgery
- Published
- 2025-09-23
- DOI
- https://doi.org/10.52312/jdrs.2026.2436
- Citations
- 1
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 1.36