Publication:

Integration of artificial intelligence and robotics in rehabilitation therapy: enhancing motor recovery after injury or stroke

Background Artificial intelligence (AI) and robots are revolutionizing healthcare by delivering intelligent, adaptable, and patient-centric solutions. These technologies restore motor function, improve therapeutic precision, and adapt patient treatment regimens, making them vital for rehabilitation therapy. Recent advances in neuroscience, motor control, robotics, and AI-based algorithms have opened new doors in brain and motor rehabilitation. Invasive and non-invasive human-machine interfaces can reduce the long-term effects of strokes and spinal cord injuries. This research examines how AI and robotics can improve motor recovery after injury or stroke in rehabilitation therapy.

Methods This study utilizes the quantitative research methodology. Data were gathered from different clinical trials and studies that specifically examined AI-assisted robotic rehabilitation therapy. Important indicators consist of the enhancement in motor function, rates of patient adherence, and the overall efficacy of therapy. A total of 19 participants were selected for this investigation. The standard of care group had ten participants and the robotic therapy group nine.

Results The study showed that robotic therapy improved all evaluations more than the control group, proving that AI and robotic technology work in rehabilitation therapy.

Conclusions The findings demonstrate that AI-integrated robotic therapy outperforms normal care in rehabilitation. Subsequent research endeavours may delve deeper into the enduring advantages and enhance the treatment regimens to optimize patient recuperation.