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VOL. 8, ISSUE 1 (2026)
AI-Driven personalized rehabilitation: Clinical perspectives in physiotherapy practice
Authors
Dr. Lakshita Aggarwal, Dr. Shivam monga, Dr. Simran Kaur
Abstract
A major step toward individualized rehabilitation is the incorporation
of artificial intelligence (AI) into physiotherapy. AI-powered solutions
streamline therapist workloads, enhance recovery outcomes and customize therapy
programs to each patient's needs. This study examines current AI applications
in physiotherapy, evaluates their efficacy and pinpoints obstacles to their
broad implementation. The findings show that AI improves patient involvement
and provides accurate progress tracking but data protection and professional
training continue to be major issues. Future developments will concentrate on
improving AI models for better accessibility and flexibility in rehabilitation
procedures.
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Pages:1-2
How to cite this article:
Dr. Lakshita Aggarwal, Dr. Shivam monga, Dr. Simran Kaur "AI-Driven personalized rehabilitation: Clinical perspectives in physiotherapy practice". International Journal of Medical Science and Research, Vol 8, Issue 1, 2026, Pages 1-2
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