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.

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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
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article

Assessment of large language models in musculoskeletal radiological anatomy: A comparative study with radiologists

Ebru Kul Baysan, Ali Şalbaş
1 citations
Joint Diseases and Related Surgery
Radiology practices and education
1.36
article

Assessment of large language models in musculoskeletal radiological anatomy: A comparative study with radiologists

Ebru Kul Baysan, Ali Şalbaş
article en
1 citations

Abstract

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.

Joint Diseases and Related SurgeryVol. 37(1)
Izmir Atatürk Eğitim ve Araştırma Hastanesi (TR)
Openalex Percentile: Top 16%
Radiology practices and education
1.36
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