Artificial Intelligence and Machine Learning in Orthopedic Diagnosis: Applications and Future Directions

Abstract

The integration of artificial intelligence (AI) and machine learning (ML) technologies into

orthopedic diagnosis has the potential to revolutionize the way musculoskeletal conditions

are identified and treated. AI and ML systems, with their ability to analyze large datasets,

identify patterns, and offer predictive insights, have demonstrated great promise in improving

diagnostic accuracy, decision-making, and patient outcomes in orthopedics. This paper

explores the current applications of AI and ML in orthopedic diagnosis, discusses their

impact on clinical practices, and highlights future directions for the integration of these

technologies into orthopedic care.