acePerformance of Large Language Models in Image-Based Evaluation of Dupuytren Contracture
Background Artificial intelligence (AI) has been utilized as a supplemental tool by patients and providers in the evaluation of common hand pathology. This study evaluated the ability of 3 large language model (LLM)-based AI systems (ChatGPT, Gemini, and Claude) to characterize Dupuytren's contracture involvement and recommend treatment based solely on patient images. Methods A heterogeneous set of publicly available images was obtained from open-access databases and literature sources. Images were evaluated by…
Three AI chatbots characterized Dupuytren's contracture from photos with limited accuracy, and their treatment recommendations agreed with hand surgeons no more than chance would.
The assessment relied on single images alone, and the authors say further research is needed to determine whether adding standardized clinical information could improve reliability.
Evidence
- Peer-reviewedHAND2026-10-27
How should this claim be treated?
Truvace Impact Record TRV-2026-2304, v1: “Performance of Large Language Models in Image-Based Evaluation of Dupuytren Contracture.” Truvace, 2026-10-29. /record/TRV-2026-2304 (accessed at citation time). sha256 6bca88aa6f94c1c6…
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