AI Integration in Personalized Physical Therapy Programs

Artificial Intelligence (AI) is revolutionizing personalized physical therapy by enabling objective assessment, tailored treatment planning, real-time monitoring, and remote rehabilitation. By integrating data from wearable sensors, computer vision, and electronic health records, AI supports individualized care that improves patient outcomes and engagement. This article reviews AI’s multifaceted role in physical therapy, highlighting current applications in assessment, therapy customization, and tele-rehabilitation. It also addresses challenges related to data privacy, ethical considerations, and clinical integration. Emerging trends such as augmented reality, predictive analytics, and digital twin technology are discussed, outlining the future direction of AI-driven rehabilitation. The integration of AI promises to transform physical therapy from a generalized approach to a dynamic, personalized, and proactive discipline, ultimately enhancing recovery and quality of life for diverse patient populations.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-05
DOI
https://doi.org/10.5281/zenodo.15598290
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Integration in Personalized Physical Therapy Programs

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

AI Integration in Personalized Physical Therapy Programs

article en

Abstract

Artificial Intelligence (AI) is revolutionizing personalized physical therapy by enabling objective assessment, tailored treatment planning, real-time monitoring, and remote rehabilitation. By integrating data from wearable sensors, computer vision, and electronic health records, AI supports individualized care that improves patient outcomes and engagement. This article reviews AI’s multifaceted role in physical therapy, highlighting current applications in assessment, therapy customization, and tele-rehabilitation. It also addresses challenges related to data privacy, ethical considerations, and clinical integration. Emerging trends such as augmented reality, predictive analytics, and digital twin technology are discussed, outlining the future direction of AI-driven rehabilitation. The integration of AI promises to transform physical therapy from a generalized approach to a dynamic, personalized, and proactive discipline, ultimately enhancing recovery and quality of life for diverse patient populations.

Zenodo (CERN European Organization for Nuclear Research)
Kuvempu University (IN)
Openalex Percentile: Top 57%
Artificial Intelligence in Healthcare and Education
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