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ABSTRACT: Background
In recent years, ChatGPT has become a popular source of information online. Physicians need to be aware of the resources their patients are using to self-inform of their conditions. This study investigates physician-graded accuracy and completeness of ChatGPT regarding various questions patients are likely to ask the artificial intelligence (AI) system concerning common upper limb orthopedic conditions.Methods
ChatGPT 3.5 was interrogated concerning 5 common orthopedic hand conditions: carpal tunnel syndrome, Dupuytren contracture, De Quervain tenosynovitis, trigger finger, and carpal metacarpal arthritis. Questions evaluated conditions' symptoms, pathology, management, surgical indications, recovery time, insurance coverage, and workers' compensation possibility
SUBMITTER: Jagiella-Lodise O
PROVIDER: S-EPMC11571295 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature