Artificial intelligence applications in physical rehabilitation: a systematic review of clinical effectiveness and real-world implementation.

This systematic review evaluates the integration of machine-learning-based artificial intelligence in adult physical rehabilitation by assessing its clinical and non-clinical effectiveness compared to conventional care. By synthesizing data from randomized controlled trials and cohort studies, the research measures outcomes such as functional mobility and gait speed alongside patient adherence and satisfaction. Furthermore, the study utilizes the NASSS framework to identify the practical barriers and enablers affecting real-world implementation. Ultimately, this review addresses the evidence gap regarding AI’s utility and the systemic factors influencing its adoption in clinical practice.