High identification and positive-negative discrimination but limited detailed grading accuracy of ChatGPT-4o in knee osteoarthritis radiographs.

Purpose: To explore the potential of ChatGPT-4o in analysing radiographic images of knee osteoarthritis (OA) and to assess its grading accuracy, feature identification and reliability, thereby helping surgeons to improve diagnostic accuracy and efficiency.

Methods: A total of 117 anterior‒posterior knee radiographs from patients (23.1% men, 76.