Patient-Specific 3D Models for Adaptive Physical Therapy Plans

Recent innovations in 3D anatomical modeling have significantly advanced pre-operative surgical planning; however, their application to post-operative rehabilitation remains underutilized. This paper examines a comprehensive framework for employing patient-specific 3D anatomical reconstructions to design adaptive physical therapy regimens. By leveraging individualized post-surgical imaging data, we detail an approach that enables clinicians to prescribe biomechanically optimized exercises tailored to each patient’s recovery trajectory. The architecture integrates edge AI, wearable sensors, and kinematic simulations to provide real-time feedback and facilitate dynamic therapy adjustments. This system promotes safer, more effective, and engaging rehabilitation, with reproducibility and clinical scalability as core design objectives.