CONCENTRATED ON ADVANCED AI TECHNIQUES IN REHABILITATION

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Dr.V.Deepa; Mrs.S.Gangaithara; Mr.N.Giri Prasath

CONCENTRATED ON ADVANCED AI TECHNIQUES IN REHABILITATION

Authors: Dr.V.Deepa, Mrs.S.Gangaithara, Mr.N.Giri Prasath

Unique Paper ID: 174704
Volume: 11
Issue: 11
PageNo: 1284-1286

Keywords: Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) Rehabilitation Robotics Neurorehabilitation Personalized Rehabilitation Data-driven Therapy Predictive Analytics

Abstract:
The integration of advanced Artificial Intelligence (AI) techniques in rehabilitation has the potential to revolutionize recovery processes by providing personalized, adaptive, and data-driven solutions. This paper explores the application of AI technologies such as machine learning, computer vision, natural language processing, and robotic assistance in various rehabilitation domains, including physical, cognitive, and neurological recovery. AI-driven systems enable the creation of individualized treatment plans, real-time progress monitoring, and predictive analytics to enhance patient outcomes. Furthermore, virtual reality (VR), augmented reality (AR), and telemedicine, when augmented with AI, offer immersive and remote rehabilitation options, making treatment more accessible and engaging. The use of AI in rehabilitation also optimizes the efficiency of clinical decision-making, enhances patient-provider communication, and fosters continuous improvement through data-driven insights. However, the successful implementation of AI in rehabilitation presents challenges, including data privacy concerns, integration with existing healthcare systems, and maintaining the human element in therapeutic practices.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 1284-1286

CONCENTRATED ON ADVANCED AI TECHNIQUES IN REHABILITATION

Available:https://ijirt.org/article?manuscript=174704

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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