Many activities related to rehabilitation have been getting benefits from using AI techniques. The objective of this review study is to explore the advantages of AI for rehabilitation and how AI is impacting the rehabilitation process.
The growing area of AI in digital rehabilitation (DR) emphasizes the critical role of end-user compliance with rehabilitation programs. Analyzing how AI-driven DR tools can boost this compliance is vital for creating sustainable practices and tackling future challenges.
This manuscript is a narrative review that aims to synthesize existing evidence on the role of Artificial Intelligence (AI) in rehabilitation and its implications for patient care.
Such details provide a deeper understanding and appreciation for Ai-Based Rehabilitation Technology For Netd.
This review explores the diverse applications of AI in rehabilitation, focusing on key technologies such as machine learning, deep learning, computer vision, natural language processing, and robotics.
By transforming rehabilitation into a dynamic, engaging, and personalized process, AI and telerehabilitation together represent a paradigm shift in healthcare, promising improved outcomes and broader access for patients worldwide.
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First, it aims to provide an overview of the current applications of AI in personalized rehabilitation, offering new insights. Second, it presents a SWOT analysis to evaluate the strengths, weaknesses, opportunities, and threats associated with the use of AI in developing personalized rehabilitation programs.
