This review explores the impact of AI-powered solutions in the rehabilitation process, focusing on recent advancements and future trends. The study examines the role of AI in various rehabilitation areas, including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, and rehabilitation of neurodegenerative diseases. The review highlights the potential of AI-based technologies to enhance rehabilitation outcomes, improve accessibility, and personalize treatment plans. It also discusses the challenges and future directions for AI in rehabilitation, emphasizing the need for further research and development. The study analyzes recent empirical studies and presents a survey of the most relevant AI-based technologies in rehabilitation. The findings suggest that AI can significantly improve the effectiveness of rehabilitation interventions, particularly in cognitive rehabilitation, by providing adaptive and personalized solutions. The review also discusses the implications of these findings for both research and clinical practice, emphasizing the importance of integrating AI with human expertise to enhance patient care. The study concludes that AI has the potential to revolutionize rehabilitation by offering innovative, efficient, and accessible solutions for individuals with various neurological and cognitive impairments.This review explores the impact of AI-powered solutions in the rehabilitation process, focusing on recent advancements and future trends. The study examines the role of AI in various rehabilitation areas, including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, and rehabilitation of neurodegenerative diseases. The review highlights the potential of AI-based technologies to enhance rehabilitation outcomes, improve accessibility, and personalize treatment plans. It also discusses the challenges and future directions for AI in rehabilitation, emphasizing the need for further research and development. The study analyzes recent empirical studies and presents a survey of the most relevant AI-based technologies in rehabilitation. The findings suggest that AI can significantly improve the effectiveness of rehabilitation interventions, particularly in cognitive rehabilitation, by providing adaptive and personalized solutions. The review also discusses the implications of these findings for both research and clinical practice, emphasizing the importance of integrating AI with human expertise to enhance patient care. The study concludes that AI has the potential to revolutionize rehabilitation by offering innovative, efficient, and accessible solutions for individuals with various neurological and cognitive impairments.