Edited by
Abhishek Kumar, Chandigarh University, Mohali, India.
Priya Batta, Amity University Punjab, Mohali, India.
Sachin Ahuja, Chandigarh University, Mohali, India.
Pramod Singh Rathore, Manipal University Jaipur, India.
ISBN : 9781836691266
Publication Date : August 2026
Hardcover 242 pp
170 USD
Co-publisher
AI-driven Innovations in Physiotherapy and Oncology 4 explores how artificial intelligence (AI) is transforming patient care, rehabilitation and cancer management. It presents a comprehensive overview of AI applications in physiotherapy and oncology, highlighting data-driven diagnostics, personalized treatment planning and predictive analytics.
This book discusses the integration of machine learning, computer vision and wearable technologies to enhance rehabilitation outcomes, monitor patient progress and optimize therapeutic interventions. In oncology, it also examines AI-supported early detection, tumor classification, precision medicine and treatment response prediction. Real-world case studies and emerging research trends are included to demonstrate practical implementation and clinical impact.
By bridging technological advancements with healthcare practices, this book provides valuable insights for researchers, clinicians and professionals seeking to understand and leverage AI for improved patient outcomes and next-generation medical innovation.
Part 1. Machine Learning and AI Foundations in Physiotherapy.
1. ML for Predictive Recovery Models in Physiotherapy, Suraj Kanase and G.M. Vaidya.
2. AI-Powered Gait Analysis for Post-Injury Rehabilitation, Pragati Salunkhe and K. Gavhale.
3. Deep Learning Applications in Automated Physiotherapy Progress Tracking, Ankita Durgawale and Fazil Sheikh.
4. Real-Time AI Feedback Systems for Postural Correction in Physiotherapy, Smita Patil and Rasika Ranjit Chafle.
5. Wearable Sensor Data and ML for Remote Physiotherapy Monitoring, Sandeep Shinde and Shamla Mantri.
Part 2. Intelligent Rehabilitation Technologies and Personalized Care.
6. AI-Driven Decision Support Systems for Personalized Physiotherapy Plans, Shraddha Mohite and P. Bainalwar.
7. Reinforcement Learning for Adaptive Exercise Prescription in Rehabilitation, Omkar Somade and Chandrayani Rokde.
8. Computer Vision and AI for Automated Joint Range-of-Motion Assessment, T. Poovishnu Devi and Jiwan Dehankar.
9. ML Models for Early Detection of Movement Disorders in Physiotherapy, S. Anandh and Swapna Kamble.
10. AI-Based Predictive Analytics for Sports Injury Prevention and Recovery, Vaishali Jagtap and Kalpana Malpe.
Abhishek Kumar is an assistant director and professor in the Department of Computer Science and Engineering at Chandigarh University, Mohali, India. His expertise spans AI, renewable energy and image processing.
Priya Batta is an associate professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her research specializes in AI, blockchain and the IoT.
Sachin Ahuja is the Executive Director of Engineering and a professor at Chandigarh University, Mohali, India. His research specializes in AI, machine learning and data mining.
Pramod Singh Rathore is an assistant professor at Manipal University Jaipur, India. His research interests include NS2, networks, data mining and DBMS.
