The integration of Artificial Intelligence (AI) in orthopedics represents a transformative shift, enhancing diagnostics, surgical planning, rehabilitation, and research innovation. This manuscript outlines the evolution and application of AI across various orthopedic subspecialties, emphasizing its role in streamlining processes and improving patient outcomes. The comprehensive review highlights the historical progression, current applications, and the promising future of AI in managing conditions such as osteoarthritis, fractures, and other musculoskeletal disorders. This study systematically categorizes AI applications into diagnostics, surgical planning, post-operative care, and research innovation. AI technologies have shown substantial accuracy in imaging analyses, including X-ray, magnetic resonance imaging, and computed tomography scans, facilitating early and precise diagnosis. In surgical planning, AI contributes to personalized implant designs and real-time surgical navigation, significantly reducing intraoperative risks and enhancing recovery. Post-operatively, AI tools such as remote monitoring and predictive analytics optimize rehabilitation processes and predict potential complications, enabling timely interventions. This work also discusses the role of AI in advancing orthopedic research, fostering interdisciplinary collaboration, and accelerating the discovery of innovative treatments. Furthermore, the implications of AI in educational settings, particularly in orthopedic resident training, are explored to underscore its potential to augment traditional medical training and patient care.
Hu et al. (Sun,) studied this question.