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Elsevier

Implications of Artificial Intelligence in Next Generation Physiotherapy

  • 1st Edition - February 1, 2027
  • Latest edition
  • Editors: Manpreet Kaur, Shagun Agarwal, Shahid Mohammad Ganie, Anand Sharma
  • Language: English

Implications of Artificial Intelligence in Next Generation Physiotherapy explores the transformative integration of artificial intelligence into physiotherapy, a vital compon… Read more

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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.

Key features

  • Explores the integration of artificial intelligence in physiotherapy, providing valuable insights into innovative practices and methodologies
  • Addresses ethical considerations and regulatory frameworks related to the deployment of AI technologies in healthcare
  • Offers practical applications and tailored treatment strategies based on data-driven insights, to enhance patient outcomes and improve rehabilitation practices

Readership

Researchers and Academics in the fields of physiotherapy, rehabilitation, and artificial intelligence

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: February 1, 2027
  • Language: English

About the editors

MK

Manpreet Kaur

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.
Affiliations and expertise
Chandigarh University, India

SA

Shagun Agarwal

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.

Affiliations and expertise
Amity University, India

SG

Shahid Mohammad Ganie

Dr. Shahid Mohammad Ganie is Assistant Professor at the AI Research Centre, School of Business, Woxsen University, where he also holds the Chair Professorship in Data Science and Artificial Intelligence. His research focuses on machine learning, data analytics, deep learning, healthcare informatics, medical image computing, and smart healthcare systems, with growing interests in big data analytics, Internet of Things applications in healthcare, and digital health technologies. Dr. Ganie is actively involved in interdisciplinary research and has contributed to the scholarly literature through journal articles, edited volumes, and conference publications. He serves as a reviewer for several international journals in data science, analytics, and healthcare technologies. At Woxsen University, he is a member of the AI Research Centre, affiliated with the Woxsen Future Lab, and serves on the Technology Advisory Board, contributing to research strategy and collaborative initiatives in artificial intelligence and emerging technologies.

Affiliations and expertise
Woxsen University

AS

Anand Sharma

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.

Affiliations and expertise
Mody University, India