Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.

Abstract

Rehabilitation following a stroke faces challenges in
offering customized treatment and attaining the best
possible outcomes. The utilization of artificial intelligence
(AI) presents transformative solutions that have the
potential to revolutionize existing practices. This minireview
discusses the use of AI in rehabilitation after
stroke, in form of customized intervention, task-specific
training with robotics, real time monitoring by wearable
devices and remote monitoring through tele
rehabilitation. Despite the recent advances, issues such as
algorithm bias, concerns about data security, and access
disparities remain. Future directions include creating
predictive analytics for tailored stroke therapies,
incorporating virtual reality for increased participation,
and assuring ethical and equitable distribution.
Collaborative efforts are necessary to address these
challenges and advance AI-driven stroke therapy. This
review highlights the potential of AI to revolutionize
stroke rehabilitation outcomes through interdisciplinary
collaboration and ethical implementation.
Keywords: Artificial Intelligence, Rehabilitation, Stroke,
Technology, outcomes, recent advances