International Journal of Science and Technology (IJST)

Post-Injury Rehabilitation Reimagined: Integrating AI into Personalized Recovery Pathways

The integration of Artificial Intelligence (AI) into post-injury rehabilitation is transforming recovery paradigms by enabling personalized, adaptive, and efficient rehabilitation pathways tailored to individual patient needs. This paper reviews the current advances in AI applications that facilitate assessment, monitoring, and optimization of rehabilitation programs following injuries. Through machine learning algorithms, wearable sensors, and predictive analytics, AI enhances the precision of therapy plans, tracks patient progress in real-time, and predicts recovery trajectories. The review discusses the benefits of AI-driven rehabilitation, including improved functional outcomes, reduced recovery times, and increased patient engagement. It also addresses challenges such as data privacy, algorithmic bias, and integration with clinical workflows. Case studies and emerging trends highlight the potential of AI to revolutionize rehabilitation medicine, fostering a patient-centered approach that adapts dynamically to evolving recovery stages.