{"product_id":"ai-driven-innovations-in-physiotherapy-and-oncology-volume-2-hardback-9781836690795","title":"AI-driven Innovations in Physiotherapy and Oncology, Volume 2 (Hardback) 9781836690795","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAI-driven Innovations in Physiotherapy and Oncology, Volume 2\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAbhishek Kumar (Edited by), A Kumar (Author), Priya Batta (Edited by), Sachin Ahuja (Edited by), Pramod Singh Rathore (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781836690795, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 22 November 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e448 pages\u003cbr\u003e23.5 x 15.6 x 2.7 cm, 0.889 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eAI-driven Innovations in Physiotherapy and Oncology 2\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003cbr\u003e\u003ci\u003eAbhishek KUMAR, Priya BATTA, Sachin AHUJA and Pramod Singh RATHORE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Advancements and Applications of Physiotherapy in Rehabilitation and Pain Management 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eG. HIMASHREE, G. VARADHARAJULU and Radhika CHINTAMANI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 2\u003cbr\u003e1.2. Composition of connective tissue 3\u003cbr\u003e1.3. Tendon classification 5\u003cbr\u003e1.4. Tendon vascularity. 6\u003cbr\u003e1.5. Tendinous junction 10\u003cbr\u003e1.6. Mechanical properties 13\u003cbr\u003e1.7. Viscoelastic behavior of tendons to tensile loads 27\u003cbr\u003e1.8. Biomechanical response of tendons to nontensile loads 33\u003cbr\u003e1.9. Impact of physical environment on mechanical properties 34\u003cbr\u003e1.10. Biological effects on mechanical properties 35\u003cbr\u003e1.11. Tendon injury mechanism 36\u003cbr\u003e1.12. Response of tendons to immobilization and mobilization 43\u003cbr\u003e1.13. Conclusion 44\u003cbr\u003e1.14. References 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Model Validation Techniques for AI in Cancer Research Based on Physiotherapy and Oncology 49\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShraddha MOHITE, Suresh J. BHOSALE, Salim CHAVAN and Kadam SHRIKANT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 50\u003cbr\u003e2.2. Role of AI in oncology and physiotherapy 50\u003cbr\u003e2.3. AI model development pipeline in cancer research 52\u003cbr\u003e2.4. Validation techniques 57\u003cbr\u003e2.5. Key metrics for model evaluation 60\u003cbr\u003e2.6. Challenges in validation for cancer physiotherapy models 63\u003cbr\u003e2.7. Regulatory and ethical considerations 65\u003cbr\u003e2.8. Future directions 67\u003cbr\u003e2.9. Conclusion 67\u003cbr\u003e2.10. References 68\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. The Role of Artificial Intelligence in Personalized Physiotherapy and Cancer Treatment 73\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eS. ANANDH, Suresh J. BHOSALE and Sachin Purushottam UNTAWALE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 73\u003cbr\u003e3.2. Overview of AI in healthcare 75\u003cbr\u003e3.3. Personalized physiotherapy 78\u003cbr\u003e3.4. Personalized cancer treatment 79\u003cbr\u003e3.5. Challenges and ethical considerations 82\u003cbr\u003e3.6. Prospects 83\u003cbr\u003e3.7. Conclusion 84\u003cbr\u003e3.8. References 85\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Machine Learning in Oncology and Physiotherapy: A New Era of Precision Medicine 89\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMandar MALAWADE, Shrushti P. JACHAK, Anand GUDUR and Sanjay L. BADJAT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 89\u003cbr\u003e4.2. Machine learning in oncology 91\u003cbr\u003e4.3. Machine learning in physiotherapy 94\u003cbr\u003e4.4. Challenges and limitations 98\u003cbr\u003e4.5. Future directions 99\u003cbr\u003e4.6. Conclusion 100\u003cbr\u003e4.7. References 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. The Role of Physiotherapy in Enhancing Functional Recovery: Techniques, Benefits and Clinical Perspectives 105\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRadhika CHINTAMANI, G. VARADHARAJULU and G. HIMASHREE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 106\u003cbr\u003e5.2. Neural tissue mechanics 108\u003cbr\u003e5.3. Material properties 113\u003cbr\u003e5.4. Quasi-linear viscoelasticity 115\u003cbr\u003e5.5. Load-deformation curve 118\u003cbr\u003e5.6. Conclusion 122\u003cbr\u003e5.7. References 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. AI-Powered Rehabilitation: Transforming Physiotherapy for Cancer Survivors 127\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eNamrata KADAM, Suresh J. BHOSALE and Piyush Ashokrao DALKE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 128\u003cbr\u003e6.2. The burden of cancer survivorship 129\u003cbr\u003e6.3. AI in healthcare and rehabilitation 131\u003cbr\u003e6.4. Personalized rehabilitation for cancer survivors 132\u003cbr\u003e6.5. Remote monitoring and tele-rehabilitation 133\u003cbr\u003e6.6. Enhancing patient engagement and motivation 134\u003cbr\u003e6.7. Clinical outcomes and evidence-based practice 135\u003cbr\u003e6.8. Challenges and ethical considerations 137\u003cbr\u003e6.9. Future directions and recommendations 137\u003cbr\u003e6.10. Conclusion 138\u003cbr\u003e6.11. References 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Future Directions in Oncology: Emerging Technologies and Artificial Intelligence in Physiotherapy 143\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eChandrakant PATIL, Dhiraj Kumar MANE, Anand GUDUR and Kalpana MALPE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 144\u003cbr\u003e7.2. Emerging technologies in oncology physiotherapy 145\u003cbr\u003e7.3. AI in oncology physiotherapy 150\u003cbr\u003e7.4. Integration of technologies and AI in clinical practice 151\u003cbr\u003e7.5. Challenges and ethical considerations 154\u003cbr\u003e7.6. Future directions 155\u003cbr\u003e7.7. Conclusion 156\u003cbr\u003e7.8. References 157\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Deep Learning in Oncology and Physiotherapy: Enhancing Diagnosis and Recovery 161\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePoonam PATIL, Neeraja ASWALE, Dhiraj Kumar MANE and Anand GUDUR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 161\u003cbr\u003e8.2. DL fundamentals 162\u003cbr\u003e8.3. DL applications in oncology 164\u003cbr\u003e8.4. DL applications in physiotherapy 167\u003cbr\u003e8.5. Challenges and limitations 170\u003cbr\u003e8.6. Case studies 172\u003cbr\u003e8.7. Future directions 173\u003cbr\u003e8.8. Conclusion 173\u003cbr\u003e8.9. References 174\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Automating Cancer Detection and Rehabilitation: The AI Revolution 179\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSuraj KANASE, Rashmi GUDUR and Rasika MANAPU\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction 180\u003cbr\u003e9.2. AI in cancer detection 182\u003cbr\u003e9.3. Predictive analytics and risk assessment 185\u003cbr\u003e9.4. Personalized treatment planning 187\u003cbr\u003e9.5. AI in cancer rehabilitation 189\u003cbr\u003e9.6. Challenges and ethical considerations 191\u003cbr\u003e9.7. Case studies and clinical applications 192\u003cbr\u003e9.8. Future directions 193\u003cbr\u003e9.9. Conclusion 193\u003cbr\u003e9.10. References 194\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. Physiotherapy: A Holistic Approach to Rehabilitation and Functional Wellness 199\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eG. HIMASHREE, Radhika CHINTAMANI and G. VARADHARAJULU\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 199\u003cbr\u003e10.2. AI in biomaterials 201\u003cbr\u003e10.3. History 201\u003cbr\u003e10.4. Biomaterials: properties, types and applications 202\u003cbr\u003e10.5. Metals 205\u003cbr\u003e10.6. Ceramics and glasses 210\u003cbr\u003e10.7. Polymers 213\u003cbr\u003e10.8. Natural materials and composites 215\u003cbr\u003e10.9. Conclusion 216\u003cbr\u003e10.10. References 216\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. AI and Wearable Technology in Physiotherapy for Oncology Patients 221\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTrupti YADAV, Anand GUDUR and Vibha VYAS\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1. Introduction 222\u003cbr\u003e11.2. Background and motivation 224\u003cbr\u003e11.3. Wearable technology in oncology physiotherapy 226\u003cbr\u003e11.4. AI in oncology physiotherapy 227\u003cbr\u003e11.5. Case studies and clinical trials 229\u003cbr\u003e11.6. Benefits and clinical impact 231\u003cbr\u003e11.7. Challenges and limitations 232\u003cbr\u003e11.8. Future directions 234\u003cbr\u003e11.9. Conclusion 235\u003cbr\u003e11.10. References 236\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12. Smart Robotics in Physiotherapy and Oncology: Redefining Patient Outcomes 239\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePragati SALUNKHE, Suresh J. BHOSALE and Prashant S. JADHAV\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1. Introduction 240\u003cbr\u003e12.2. Background and technological foundations 241\u003cbr\u003e12.3. Smart robotics in physiotherapy 243\u003cbr\u003e12.4. Smart robotics in oncology 246\u003cbr\u003e12.5. Integration with AI 248\u003cbr\u003e12.6. Challenges and limitations 252\u003cbr\u003e12.7. Future directions 253\u003cbr\u003e12.8. Conclusion 253\u003cbr\u003e12.9. References 254\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13. Recurrent Neural Networks for Predictive Modeling in Cancer Time Series Data 257\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMayiri BURUNGALE, Suresh J. BHOSALE, Rashmi GUDUR and Shamla MANTRI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1. Introduction 257\u003cbr\u003e13.2. Background and related work 258\u003cbr\u003e13.3. RNN architectures 260\u003cbr\u003e13.4. Datasets and preprocessing 263\u003cbr\u003e13.5. Applications in cancer prediction 267\u003cbr\u003e13.6. Evaluation metrics 268\u003cbr\u003e13.7. Challenges and limitations 269\u003cbr\u003e13.8. Future directions 269\u003cbr\u003e13.9. Conclusion 271\u003cbr\u003e13.10. References 271\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14. The Role of Physiotherapy in Enhancing Functional Recovery in Musculoskeletal and Neurological Conditions 275\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eG. VARADHARAJULU, Radhika CHINTAMANI and G. HIMASHREE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1. Introduction 276\u003cbr\u003e14.2. Hierarchical structure of cortical bone 277\u003cbr\u003e14.3. Psychological support 285\u003cbr\u003e14.4. Application of artificial intelligence (AI) in tissue regeneration 285\u003cbr\u003e14.5. Conclusion 288\u003cbr\u003e14.6. References 288\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15. Biomechanics in Physiotherapy 291\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSougata PANDA and Seveka BALI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1. Introduction 291\u003cbr\u003e15.2. Methodology 294\u003cbr\u003e15.3. Literature review 294\u003cbr\u003e15.4. Results 304\u003cbr\u003e15.5. Discussion. 305\u003cbr\u003e15.6. Conclusion 306\u003cbr\u003e15.7. References 306\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16. Role of Physiotherapy in Cancer Recovery: A Review and Recommendation 317\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSougata PANDA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1. Introduction 317\u003cbr\u003e16.2. Literature review 319\u003cbr\u003e16.3. Methods 322\u003cbr\u003e16.4. Result 322\u003cbr\u003e16.5. Discussion. 327\u003cbr\u003e16.6. Recommendations 327\u003cbr\u003e16.7. Conclusion 328\u003cbr\u003e16.8. References 328\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17. The Role of Artificial Intelligence in Modern Healthcare: Transforming Diagnosis, Treatment and Rehabilitation 335\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMamta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1. Introduction to artificial intelligence (AI) in healthcare 335\u003cbr\u003e17.2. Literature review 337\u003cbr\u003e17.3. Methodology 340\u003cbr\u003e17.4. How AI is disrupting healthcare today 342\u003cbr\u003e17.5. Applications of AI across medical domains 343\u003cbr\u003e17.6. Benefits of AI in healthcare 346\u003cbr\u003e17.7. Challenges and ethical issues 348\u003cbr\u003e17.8. The future of AI in healthcare 351\u003cbr\u003e17.9. Conclusion 354\u003cbr\u003e17.10. References 355\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18. Foundation of Artificial Intelligence in Healthcare 359\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRUCHI, BAANI, Vikas WASSON and Kamini JOSHI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1. Introduction 360\u003cbr\u003e18.2. Overview of AI 362\u003cbr\u003e18.3. AI applications in medicine: literature review 365\u003cbr\u003e18.4. AI-based healthcare: methodologies 370\u003cbr\u003e18.5. Conclusion and future scope 378\u003cbr\u003e18.6. References 379\u003c\/p\u003e \u003cp\u003eList of Authors 385\u003cbr\u003eIndex 389\u003cbr\u003eSummary of Volume 1 391\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446832754968,"sku":"9781836690795","price":111.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781836690795.jpg?v=1785115192","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/ai-driven-innovations-in-physiotherapy-and-oncology-volume-2-hardback-9781836690795","provider":"Freshly Printed Books","version":"1.0","type":"link"}