Implications of Artificial Intelligence in Next Generation Physiotherapy

Manpreet Kaur, Shahid Mohammad Ganie, Anand Sharma, Shagun Agarwal (Herausgeber)

Buch | Softcover

220 Seiten

2027
Academic Press Inc (Verlag)
978-0-443-45172-0 (ISBN)

Infos

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.

Autor

Dr. Manpreet Kaur (PT) is a dedicated physiotherapist and Assistant Professor at Chandigarh University, India, specializing in neurological disorders. With a Bachelor’s and Master’s degree in Physiotherapy, she has extensive teaching experience, instructing undergraduate physiotherapy and pharmacy students in anatomy, physiology, and practical applications. Dr. Kaur actively treats patients in outpatient departments while guiding final-year students in their projects and dissertations. She serves as the lab in-charge of the physiotherapy lab and engages in research, contributing to publications and securing patents for innovative rehabilitation devices. Her passion for education and patient care is complemented by her diverse interests, including music, cooking, and sports. Fluent in Hindi, English, and Punjabi, Dr. Kaur aims to enhance the quality of neurorehabilitation education and treatment, making a significant impact on both her students and patients. Dr. Shahid Mohammad Ganie is working as an Assistant Professor at the AI Research Centre in the School of Business at Woxsen University and holds the Chair Professor--Manjeet Rege Professor of Data Science and AI. He obtained his Ph.D (Machine Learning in Healthcare Informatics) and a master's degree in Computer Applications (MCA), where he was a Gold Medalist, from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir-UT, India. He also holds a B.Sc in Mathematics from the University of Kashmir. He has been a passionate teacher with more than 2 years of teaching experience and research experience. His research interests include Data Analytics, Machine Learning, Deep Learning, Medical Image Computing, Healthcare Informatics, and Smart Healthcare Systems. He is also interested in expanding his research into related areas such as Big Data Analytics, IoT in Healthcare, and Metaverse in Healthcare. He has published more than 20 research articles in refereed journals, edited books, and reputed international conferences. Additionally, he serves as a reviewer for international/national reputed journals such as the Journal of Big Data, Healthcare Analytics, Computers, Materials & Continua. In addition, he is a member of the AI Research Centre at Woxsen University. He holds a research affiliation with the Woxsen Future Lab (Interdisciplinary/Multidisciplinary Research Lab) at Woxsen University. Furthermore, he serves as a member of the Technology Advisory Board, AI Research Centre, Woxsen University. Dr. Anand Sharma received his BTech, from IIT, Bhopal. After MTech, He was awarded with PhD. He has been working as an associate professor in the Department of CSE, Mody University of Science and Technology, Lakshmangarh, for the last 14 years. He has more than 16 years of experience in teaching and research. He is an active researcher who has 180 plus publications (inclu-ding patents, journal papers, conference proceedings, book chapters, and books from reputed international publishers).He is serving in an advisory capacity in several international journals as an editorial member and in international conferences as a member of the technical program committee or organizing committee. He is a member of IEEE, IET, and IE (India), and a life member of CSI and ISTE. He has received his BPT degree from Swami Vivekananda national Institute of Rehabilitation and Research Centre in 1999, MPT from Jamia Hamdard University in 2003. He awarded with PhD degree in Amity University. Currently he is working as a dean in Department of Physiotherapy, Galgotias University, Noida (UP), India. He is an active member of IAP association and conducting number of workshops related to physiotherapy practices. He has numerous research papers published in reputed journal.

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 1.2.2027
• Verlagsort: San Diego
• Sprache: englisch
• Maße: 191 x 235 mm
• Gewicht: 450 g
• Themenwelt: Studium ► 1. Studienabschnitt (Vorklinik) ► Physiologie
• ISBN-10: 0-443-45172-9 / 0443451729
• ISBN-13: 978-0-443-45172-0 / 9780443451720
• Zustand: Neuware