Edited by
Abhishek Kumar, Chandigarh University, India.
Priya Batta, Amity University - Punjab, India.
Sachin Ahuja, Chandigarh University, India.
Pramod Singh Rathore, Manipal University Jaipur, India.
ISBN :
Publication Date : December 2025
Hardcover 398 pp
165.00 USD
Co-publisher
AI-driven Innovations in Physiotherapy and Oncology 1 explores the transformative impact of artificial intelligence (AI) on two critical domains of healthcare. As the global demand for personalized, efficient and data-driven medical interventions increases, this book offers a timely examination of how AI technologies are reshaping clinical practices in both physiotherapy and oncology.
The book explores how AI supports early cancer detection, personalized treatment planning and monitoring of disease progression, while also playing a pivotal role in physiotherapy by enabling intelligent rehabilitation strategies tailored to oncology patients. From AI-driven motion analysis and virtual physiotherapy assistants to predictive models for treatment response and functional recovery, this book showcases innovations that optimize physical therapy outcomes for cancer patients. It also addresses ethical challenges, data governance and the integration of AI within clinical workflows. Designed for clinicians, researchers and healthcare innovators, this book is a vital resource for understanding how AI bridges the gap between oncology care and rehabilitative physiotherapy.
1. Transforming Post-Operative Rehabilitation: AI-integrated Physiotherapy in Orthopedics and Oncology, Radhika Chintamani, G. Varadharajulu and G. Himashree.
2. AI-enhanced Virtual Rehabilitation: The Future of Cancer Recovery, Omkar Somade, Rashmi Gudur, Nitin K. Chaudhary and Mahendra Alate.
3. Predictive Analytics in Physiotherapy and Oncology: Optimizing Treatment Plans, S. Anandh, Suresh J. Bhosale and Vivek Parhate.
4. Integrating AI with Physiotherapy to Improve Quality of Life for Cancer Patients, Namrata Kadam, Rashmi Gudur and Vivek Deshpande.
5. AI-driven Imaging in Oncology and Physiotherapy: A Game-changer in Diagnostics, S. Anandh, Anand Gudur and Manoj Vairalkar.
6. AI-driven Innovations in Biomaterial-based Physiotherapy and Oncology: Personalizing Patient Care Through Intelligent Monitoring and Predictive Rehabilitation, G. Himashree, G. Varadharajulu and Radhika Chintamani.
7. Telemedicine and AI in Physiotherapy and Oncology: Bridging Gaps in Care, Ankita Durgawale, Anand Gudur and Vivek Deshpande.
8. Personalized AI-based Exercise Therapy for Oncology and Physiotherapy Patients, Ankita Durgawale, Rashmi Gudur and Vivek Deshpande.
9. Neural Networks in Physiotherapy and Oncology: Enhancing Recovery Pathways, Chandrakant Patil, Dhiraj Kumar Mane, Anand Gudur and Kalpana Malpe.
10. AI-enabled Chatbots and Virtual Assistants in Oncology and Physiotherapy, Namrata Kadam, Rashmi Gudur, Dhiraj Kumar Mane and Vivek Deshpande.
11. AI-driven Sensor Technologies in Physiotherapy and Oncology: Transforming Rehabilitation Through Intelligent Biomechanical Monitoring, G. Varadharajulu, Radhika Chintamani and G. Himashree.
12. Big Data and AI in Physiotherapy and Cancer Treatment: From Research to Practice, Chandrakant Patil, Dhiraj Kumar Mane, Anand Gudur and Kalpana Malpe.
13. Emerging AI Technologies Shaping the Future of Cancer Care, Omkar Somade, Rashmi Gudur, Nitin K. Chaudhary and Mahendra Alate.
14. AI-driven Motion Analysis for Physiotherapy in Cancer Survivors, Trupti Yadav, Anand Gudur and Vibha Vyas.
15. AI-driven Innovations in Physiotherapy and Oncology: Advancing Postural Assessment, Rehabilitation and Patient-centered Care, G. Himashree, Radhika Chintamani and G. Varadharajulu.
16. Key Technologies of Artificial Intelligence: Robotics, Wearables and Big Data, Rohini Bawa and Surekha Rani.
17. Enhancing Health Data Security and Intelligence with Blockchain and Artificial Intelligence, Charu Chhabra, Sohrab Ahmad Khan, Harsirjan Kaur, Kusum Yadav and Mohd. Mazhar.
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, India. 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, data mining and related areas.
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.
