Edited by
Abhishek Kumar, Chandigarh University, India.
Priya Batta, Amity University Punjab, Mohali, India.
Sachin Ahuja, Chandigarh University, India.
Pramod Singh Rathore, Manipal University Jaipur, India.
ISBN : 9781836690887
Publication Date : April 2026
Hardcover 422 pp
170 USD
Co-publisher
AI-driven Innovations in Physiotherapy and Oncology 3 is positioned at the intersection of artificial intelligence (AI), clinical rehabilitation and cancer care, addressing the growing need for data-driven, personalized and technology-enabled healthcare solutions. The book contextualizes recent advances in machine learning, deep learning, computer vision and intelligent decision-support systems within modern physiotherapy and oncology practices.
This book systematically explores how AI models enhance diagnosis, treatment planning, therapy optimization and outcome prediction across musculoskeletal rehabilitation, neuro-physiotherapy, radiation oncology and precision cancer care. It covers sensor-based motion analysis, AI-assisted imaging, predictive analytics, digital therapeutics and intelligent rehabilitation platforms, supported by real-world case studies and implementation frameworks. The book also discusses ethical considerations, clinical validation, interoperability and regulatory challenges to bridge the gap between research and practice. Designed for researchers, clinicians, graduate students and healthcare technologists, this book provides both theoretical foundations and practical insights for integrating AI into next-generation physiotherapy and oncology workflows.
1. Reinforcement Learning Models for Adaptive Cancer Rehabilitation in Physiotherapy, Trupti Yadav and Sanjay Badjate.
2. AI-Enabled Gait and Balance Assessment in Oncology Rehabilitation, Dhairyasheel Patil and Pankaj Thote.
3. Deep Learning-Driven Fatigue Monitoring in Cancer Physiotherapy Programs, Anand Gudur and Faisal Hussain Hussain.
4. Predictive Modeling of Lymphedema Risk Using AI in Oncology Physiotherapy, Rashmi Gudur and Mrudula Nimbarte.
5. AI-Based Movement Quality Scoring for Post-Chemotherapy Rehabilitation, Trupti Yadav and Rahul Pethe.
6. Virtual Reality and AI for Pain Management in Cancer Physiotherapy, Dhairyasheel Patil and Abhay Kashetwar.
7. Machine Learning for Optimizing Exercise Intensity in Oncology Rehabilitation, Anand Gudur and Himanshu Wagh.
8. AI-Driven Digital Twins for Simulating Physiotherapy Outcomes in Cancer Care, Rashmi Gudur and Mrudula Nimbarte.
9. Natural Language Processing of Patient Feedback to Personalize Oncology Physiotherapy, Trupti Yadav and Faisal Hussain Hussain.
10. AI-Enhanced Biomechanical Feedback Systems for Radiation Therapy Recovery, Dhairyasheel Patil and Himanshu Wagh.
11. Computer Vision for Real-time Postural Correction in Cancer Physiotherapy, Anand Gudur and Rahul Pethe.
12. AI-Driven Remote Physiotherapy Platforms for Immunocompromised Cancer Patients, Rashmi Gudur and Abhay Kashetwar.
13. Machine Learning for Early Detection of Mobility Decline in Oncology Patients, Trupti Yadav and Sanjay Badjate.
14. Predictive Analytics for Return-to-Function Timelines in Cancer Survivors, Dhairyasheel Patil and Pankaj Thote.
15. AI-Enabled Monitoring of Neuromuscular Recovery in Cancer Rehabilitation, Rashmi Gudur and Abhay Kashetwar.
16. Automated Motion Capture Systems for Oncology Physiotherapy Using AI, Anand Gudur and Mrudula Nimbarte.
17. Machine Learning to Forecast Rehabilitation Needs After Oncological Surgery, Trupti Yadav and Abhay Kashetwar.
18. AI-Driven Wearable Sensors for Personalized Cancer Recovery Programs, Dhairyasheel Patil and Sanjay Badjate.
19. Computer Vision-Based Range of Motion Analysis in Oncology Physiotherapy, Anand Gudur and Pankaj Thote.
20. AI-Powered Robotic Assistance for Cancer Patient Physiotherapy, Rashmi Gudur and Faisal Hussain Hussain.
Abhishek Kumar, Senior IEEE Member and Professor at Chandigarh University, India, is a prolific researcher with 170+ publications and has international postdoctoral experience. His expertise spans AI, renewable energy and image processing.
Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. She has over 12 years of
academic experience and has edited several books. She actively contributes her research to reputed journals and conferences. Her expertise includes AI, blockchain and IoT.
Sachin Ahuja is Executive Director of Engineering and Professor at Chandigarh University, India. He has guided numerous ME and PhD scholars, and currently specializes in AI, machine learning and data mining.
Pramod Singh Rathore, Assistant Professor at Manipal University Jaipur, India, has over 12 years of experience and 85+ publications. His research interests include NS2, networks, data mining, DBMS and professional memberships, including ACM and IAENG.
