Implications of Artificial Intelligence in Next Generation Physiotherapy
Elsevier (Publisher)
Will be published approx. on 1. February 2027
Book
Paperback/Softback
220 pages
978-0-443-45172-0 (ISBN)
Description
Implications of Artificial Intelligence in Next Generation Physiotherapy explores the transformative integration of artificial intelligence into physiotherapy, a vital component of rehabilitation for musculoskeletal conditions, including chronic issues and sports injuries. Traditionally reliant on in-person sessions or passive guidance, physiotherapy is set for a revolution through AI technologies that enhance diagnostics, treatment planning, and personalized care, making therapy more accessible. The book covers topics such as workload monitoring, movement pattern detection, muscle imbalance identification, and recovery tracking, alongside next-generation methods and wearable technology. It provides a comprehensive resource for researchers, practitioners, and students, consolidating current research, case studies, and practical applications. By offering insights into how AI can tailor treatment plans and improve public health outcomes, this book equips the audience with essential knowledge to navigate the future of physiotherapy, ensuring they remain informed about advancements that can significantly enhance clinical outcomes and patient care.
More details
Language
English
Place of publication
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
Weight
449 gr
ISBN-13
978-0-443-45172-0 (9780443451720)
Schweitzer Classification
Content
1. Introduction to AI-based Rehabilitation System
2. Different AI-based Therapeutic Innovations
3. Type of AI-based Therapeutic Innovations
4. Machine Learning Based Rehabilitation System
5. AI Powered Rehabilitation Tools
6. AI-based Evaluation and Assessment Methods or Diagnosis Procedures
7. Impact of AI-based Rehabilitation System in Improving Quality of Life
8. Benefits Related to Prospective Applications of AI-based Rehabilitation
9. Patient Preparation and Ethical Concerns Related to AI-based Rehabilitation
10. Challenges in Integrating AI with Rehabilitative Wearable Devices
11. Security and Privacy Issues Regarding AI-based Therapeutic Protocols
12. Protocols for Overcoming AI Challenges
13. Remedies for Overcoming AI Challenges
2. Different AI-based Therapeutic Innovations
3. Type of AI-based Therapeutic Innovations
4. Machine Learning Based Rehabilitation System
5. AI Powered Rehabilitation Tools
6. AI-based Evaluation and Assessment Methods or Diagnosis Procedures
7. Impact of AI-based Rehabilitation System in Improving Quality of Life
8. Benefits Related to Prospective Applications of AI-based Rehabilitation
9. Patient Preparation and Ethical Concerns Related to AI-based Rehabilitation
10. Challenges in Integrating AI with Rehabilitative Wearable Devices
11. Security and Privacy Issues Regarding AI-based Therapeutic Protocols
12. Protocols for Overcoming AI Challenges
13. Remedies for Overcoming AI Challenges