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AI-driven Innovations in Physiotherapy and Oncology 4

AI-driven Innovations in Physiotherapy and Oncology 4

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AI-driven Innovations in Physiotherapy and Oncology 4

Abhishek Kumar | Priya Batta | Sachin Ahuja | Pramod Singh Rathore

Computers / Artificial Intelligence / General

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.

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 Rathoreis an assistant professor at Manipal University Jaipur, India. His research interests include NS2, networks, data mining and DBMS.


Publication Date: 27 July 2026
Publisher: Wiley
Imprint: Wiley-ISTE
ISBN-13: 9781836691266
Format: Hardback
Page Count: 256

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