ABSTRACT This editorial letter discusses the expanding role of artificial intelligence (AI) in orthopedic clinical practice, focusing on its applications in diagnostic imaging, surgical planning, and regenerative medicine. While AI demonstrates comparable accuracy to clinicians in fracture detection and shows promise in preoperative modeling, significant challenges—such as data bias, ethical concerns, and limited clinical adoption—remain. The authors advocate for structured integration of AI into orthopedic workflows, supported by multicenter validation, clinician education, and ethical oversight.