Evaluating the Effectiveness of AI- Powered Physical Therapy Intervention for Patients with Parkinsons Disease

Parkinson’s disease (PD) is a progressive neurodegenerative disorder marked by bradykinesia, rigidity, tremors, and postural instability, leading to substantial impairments in mobility, balance, and daily functioning. Physical therapy plays a key role in managing PD; however, conventional approaches may lack individualized guidance and continuous feedback. Recent technological advancements have introduced artificial intelligence (AI)–powered physical therapy systems, offering adaptive, personalized, and data-driven rehabilitation programs. This study evaluates the effectiveness of AI-assisted physical therapy in improving motor function, gait, balance, and quality of life in patients with PD compared to conventional physiotherapy. In a randomized controlled trial, participants with mild to moderate PD will be allocated to an AI-based intervention group or a standard physiotherapy group. Outcome measures including UPDRS-III, Timed Up and Go Test, Berg Balance Scale, gait parameters, and PDQ-39 will be assessed pre- and post-intervention. It is anticipated that AI-powered rehabilitation will provide superior improvements, supporting its potential as an innovative and effective approach for PD management.