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Observational analysis finds AI enhances diagnostic and therapeutic processes in orthopedic medicine, suggesting improved clinical workflows.
Orthopedic medicine is undergoing a profound transformation, driven by the accelerated integration of artificial intelligence (AI) technologies into diagnostic and therapeutic processes. While traditionally lagging behind specialties like radiology and cardiology in AI adoption, recent developments have demonstrated that orthopedics is rapidly catching up, particularly in trauma diagnostics, joint arthroplasty planning, and regenerative applications (1). Given the growing body of evidence, we believe AI deserves more deliberate incorporation into orthopedic clinical workflows and training curricula. Fracture diagnosis
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Humam Baki (2025) studied this question.
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