Role of Artificial Intelligence in Stroke Rehabilitation Examined

A structured narrative review conducted by Weihua Song and colleagues, published in the journal Cyborg and Bionic Systems, comprehensively examined artificial intelligence applications in stroke rehabilitation. Screening 1,247 records through a PRISMA-style process and synthesizing 108 relevant publications between January 2010 and March 2025, the research categorizes the role of artificial intelligence into four main themes.

The research examines the role of artificial intelligence under four main headings: prediction of rehabilitation outcomes, assessment and monitoring, therapeutic intervention, and integration with technologies such as robotics, virtual reality, brain-computer interfaces, and wearable devices. Experts note that artificial intelligence holds promise in predicting functional recovery and automating patient monitoring, but state that much of the existing evidence is based on small, single-center datasets with limited external validation.