OrthoPilot AI System Transforms Musculoskeletal Care Management

Musculoskeletal diseases pose a significant global health challenge, requiring long-term, integrated care that often struggles with fragmented patient data. A new clinical AI system called OrthoPilot aims to revolutionize this by providing continuous, evidence-grounded management. Powered by a large language model, OrthoPilot seamlessly integrates real-time hospital data streams, including imaging, lab results, and pathology, with authoritative external medical knowledge. The system autonomously processes evolving patient states, translating them into evidence-based decisions that span the entire care pathway, from initial diagnosis to rehabilitation planning. Researchers developed a specialist-validated benchmark using 1,000 real-world electronic health records to evaluate OrthoPilot. In a reader study, the AI system surpassed orthopedic physicians with 25 years of experience in diagnostic reasoning, clinical decision-making, and management planning. It also outperformed 60 other intelligent systems across various clinical centers. A prospective study involving 1,870 complex cases demonstrated OrthoPilot's ability to increase full-chain management success by 10.6%. Furthermore, an 8-month randomized deployment with 8,240 inpatients showed a 9.7% increase in cumulative cases per bed and improved patient-reported access to health information. These results highlight OrthoPilot's potential to move clinical AI beyond isolated event prediction to comprehensive, longitudinal patient management.