The Use of Artificial Intelligence (AI) in the Management of Medical Rehabilitation Programs

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Authors: Catalina Luca, Ilie Onu, Sardaru Dragos, Daniela Viorelia Matei, Robert Fuior, Calin Petru Corciova
Cited by: 1

Abstract

The adoption of AI technologies in rehabilitation is transforming physiotherapy, enabling more accurate, streamlined, and personalized treatment strategies. While virtual reality (VR) and robotics have already brought significant advancements to the field, AI elevates rehabilitation by offering data-driven insights, real-time patient monitoring, and adaptive treatment plans. Our study explores the role of AI in managing medical rehabilitation programs, presenting a comprehensive review of the latest empirical studies. The findings reveal that AI-based technologies, such as machine learning algorithms, computer vision, and predictive analytics, not only improve treatment outcomes but also increase patient engagement and accessibility. Furthermore, AI-driven systems enable continuous progress tracking, early detection of complications, and tailored therapy adjustments, fostering a more responsive and effective rehabilitation process. This article underscores that integrating AI into medical rehabilitation programs marks a transformative shift in patient care, promising more dynamic, individualized, and impactful recovery.

Fields of Study & Subjects

Stroke Rehabilitation and Recovery Artificial Intelligence in Healthcare and Education Advanced Technologies in Various Fields

Publication details

Journal / source
Preprints.org
Publisher
MDPI AG
Publication date
4 February 2026
Document type
Preprint