Review: AI-Driven Advances in Physiotherapy Stimulation Devices

Mohamed Saber

Electronics and Communications Engineering Department, Faculty of Engineering, Delta University for Science and Technology, Gamasa City 11152, Egypt

Mohamed.saber@deltauniv.edu.eg

Abstract

This embraces rehabilitation medicine as it significantly boosts the doctor's way of working and presents new ways or new tools that the doctor might consider to enhance or augment the results that the patients benefit from physically. This review focuses on applying AI technologies such as robotic systems, virtual reality (VR), machine learning algorithms, wearable devices and predictive analytics in different fields, including stroke recovery, neuromuscular disorder rehabilitation, orthopedic and critical care. AI utilization improves patient treatment, the accuracy of therapy, and the administration of evaluation to deal with issues such as a lack of therapists, comparative analysis, and the expensive nature of conventional treatment. Although the outlook for its progress is positive, there are twofold problems: ethical questions, data privacy and policy concerns, and regulatory challenges. Future directions indicate directions for research and practice and call for increased interdisciplinary cooperation, large-scale validation studies and appropriate ethical standards to unlock the full potential of AI in reinventing rehabilitation medicine and rendering patient-centered care possible.

Keywords: Artificial Intelligence; Rehabilitation Medicine; Personalized Therapy; Robotic Systems; Virtual Reality; Neuromuscular Disorders.