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Author:   Abhishek Kumar (University of Madras) ,  Priya Batta (Amity University, India) ,  Sachin Ahuja (Chandigarh University, Punjab, India) ,  Pramod Singh Rathore (Rajasthan Technical University, Kota, India)
Publisher:   ISTE Ltd
Imprint:   ISTE Ltd
ISBN:  

9781836690795

ISBN 10:   1836690797
Pages:   448
Publication Date:   22 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface xix Abhishek KUMAR, Priya BATTA, Sachin AHUJA and Pramod Singh RATHORE Chapter 1. Advancements and Applications of Physiotherapy in Rehabilitation and Pain Management 1 G. HIMASHREE, G. VARADHARAJULU and Radhika CHINTAMANI 1.1. Introduction 2 1.2. Composition of connective tissue 3 1.3. Tendon classification 5 1.4. Tendon vascularity. 6 1.5. Tendinous junction 10 1.6. Mechanical properties 13 1.7. Viscoelastic behavior of tendons to tensile loads 27 1.8. Biomechanical response of tendons to nontensile loads 33 1.9. Impact of physical environment on mechanical properties 34 1.10. Biological effects on mechanical properties 35 1.11. Tendon injury mechanism 36 1.12. Response of tendons to immobilization and mobilization 43 1.13. Conclusion 44 1.14. References 44 Chapter 2. Model Validation Techniques for AI in Cancer Research Based on Physiotherapy and Oncology 49 Shraddha MOHITE, Suresh J. BHOSALE, Salim CHAVAN and Kadam SHRIKANT 2.1. Introduction 50 2.2. Role of AI in oncology and physiotherapy 50 2.3. AI model development pipeline in cancer research 52 2.4. Validation techniques 57 2.5. Key metrics for model evaluation 60 2.6. Challenges in validation for cancer physiotherapy models 63 2.7. Regulatory and ethical considerations 65 2.8. Future directions 67 2.9. Conclusion 67 2.10. References 68 Chapter 3. The Role of Artificial Intelligence in Personalized Physiotherapy and Cancer Treatment 73 S. ANANDH, Suresh J. BHOSALE and Sachin Purushottam UNTAWALE 3.1. Introduction 73 3.2. Overview of AI in healthcare 75 3.3. Personalized physiotherapy 78 3.4. Personalized cancer treatment 79 3.5. Challenges and ethical considerations 82 3.6. Prospects 83 3.7. Conclusion 84 3.8. References 85 Chapter 4. Machine Learning in Oncology and Physiotherapy: A New Era of Precision Medicine 89 Mandar MALAWADE, Shrushti P. JACHAK, Anand GUDUR and Sanjay L. BADJAT 4.1. Introduction 89 4.2. Machine learning in oncology 91 4.3. Machine learning in physiotherapy 94 4.4. Challenges and limitations 98 4.5. Future directions 99 4.6. Conclusion 100 4.7. References 101 Chapter 5. The Role of Physiotherapy in Enhancing Functional Recovery: Techniques, Benefits and Clinical Perspectives 105 Radhika CHINTAMANI, G. VARADHARAJULU and G. HIMASHREE 5.1. Introduction 106 5.2. Neural tissue mechanics 108 5.3. Material properties 113 5.4. Quasi-linear viscoelasticity 115 5.5. Load-deformation curve 118 5.6. Conclusion 122 5.7. References 123 Chapter 6. AI-Powered Rehabilitation: Transforming Physiotherapy for Cancer Survivors 127 Namrata KADAM, Suresh J. BHOSALE and Piyush Ashokrao DALKE 6.1. Introduction 128 6.2. The burden of cancer survivorship 129 6.3. AI in healthcare and rehabilitation 131 6.4. Personalized rehabilitation for cancer survivors 132 6.5. Remote monitoring and tele-rehabilitation 133 6.6. Enhancing patient engagement and motivation 134 6.7. Clinical outcomes and evidence-based practice 135 6.8. Challenges and ethical considerations 137 6.9. Future directions and recommendations 137 6.10. Conclusion 138 6.11. References 139 Chapter 7. Future Directions in Oncology: Emerging Technologies and Artificial Intelligence in Physiotherapy 143 Chandrakant PATIL, Dhiraj Kumar MANE, Anand GUDUR and Kalpana MALPE 7.1. Introduction 144 7.2. Emerging technologies in oncology physiotherapy 145 7.3. AI in oncology physiotherapy 150 7.4. Integration of technologies and AI in clinical practice 151 7.5. Challenges and ethical considerations 154 7.6. Future directions 155 7.7. Conclusion 156 7.8. References 157 Chapter 8. Deep Learning in Oncology and Physiotherapy: Enhancing Diagnosis and Recovery 161 Poonam PATIL, Neeraja ASWALE, Dhiraj Kumar MANE and Anand GUDUR 8.1. Introduction 161 8.2. DL fundamentals 162 8.3. DL applications in oncology 164 8.4. DL applications in physiotherapy 167 8.5. Challenges and limitations 170 8.6. Case studies 172 8.7. Future directions 173 8.8. Conclusion 173 8.9. References 174 Chapter 9. Automating Cancer Detection and Rehabilitation: The AI Revolution 179 Suraj KANASE, Rashmi GUDUR and Rasika MANAPU 9.1. Introduction 180 9.2. AI in cancer detection 182 9.3. Predictive analytics and risk assessment 185 9.4. Personalized treatment planning 187 9.5. AI in cancer rehabilitation 189 9.6. Challenges and ethical considerations 191 9.7. Case studies and clinical applications 192 9.8. Future directions 193 9.9. Conclusion 193 9.10. References 194 Chapter 10. Physiotherapy: A Holistic Approach to Rehabilitation and Functional Wellness 199 G. HIMASHREE, Radhika CHINTAMANI and G. VARADHARAJULU 10.1. Introduction 199 10.2. AI in biomaterials 201 10.3. History 201 10.4. Biomaterials: properties, types and applications 202 10.5. Metals 205 10.6. Ceramics and glasses 210 10.7. Polymers 213 10.8. Natural materials and composites 215 10.9. Conclusion 216 10.10. References 216 Chapter 11. AI and Wearable Technology in Physiotherapy for Oncology Patients 221 Trupti YADAV, Anand GUDUR and Vibha VYAS 11.1. Introduction 222 11.2. Background and motivation 224 11.3. Wearable technology in oncology physiotherapy 226 11.4. AI in oncology physiotherapy 227 11.5. Case studies and clinical trials 229 11.6. Benefits and clinical impact 231 11.7. Challenges and limitations 232 11.8. Future directions 234 11.9. Conclusion 235 11.10. References 236 Chapter 12. Smart Robotics in Physiotherapy and Oncology: Redefining Patient Outcomes 239 Pragati SALUNKHE, Suresh J. BHOSALE and Prashant S. JADHAV 12.1. Introduction 240 12.2. Background and technological foundations 241 12.3. Smart robotics in physiotherapy 243 12.4. Smart robotics in oncology 246 12.5. Integration with AI 248 12.6. Challenges and limitations 252 12.7. Future directions 253 12.8. Conclusion 253 12.9. References 254 Chapter 13. Recurrent Neural Networks for Predictive Modeling in Cancer Time Series Data 257 Mayiri BURUNGALE, Suresh J. BHOSALE, Rashmi GUDUR and Shamla MANTRI 13.1. Introduction 257 13.2. Background and related work 258 13.3. RNN architectures 260 13.4. Datasets and preprocessing 263 13.5. Applications in cancer prediction 267 13.6. Evaluation metrics 268 13.7. Challenges and limitations 269 13.8. Future directions 269 13.9. Conclusion 271 13.10. References 271 Chapter 14. The Role of Physiotherapy in Enhancing Functional Recovery in Musculoskeletal and Neurological Conditions 275 G. VARADHARAJULU, Radhika CHINTAMANI and G. HIMASHREE 14.1. Introduction 276 14.2. Hierarchical structure of cortical bone 277 14.3. Psychological support 285 14.4. Application of artificial intelligence (AI) in tissue regeneration 285 14.5. Conclusion 288 14.6. References 288 Chapter 15. Biomechanics in Physiotherapy 291 Sougata PANDA and Seveka BALI 15.1. Introduction 291 15.2. Methodology 294 15.3. Literature review 294 15.4. Results 304 15.5. Discussion. 305 15.6. Conclusion 306 15.7. References 306 Chapter 16. Role of Physiotherapy in Cancer Recovery: A Review and Recommendation 317 Sougata PANDA 16.1. Introduction 317 16.2. Literature review 319 16.3. Methods 322 16.4. Result 322 16.5. Discussion. 327 16.6. Recommendations 327 16.7. Conclusion 328 16.8. References 328 Chapter 17. The Role of Artificial Intelligence in Modern Healthcare: Transforming Diagnosis, Treatment and Rehabilitation 335 Mamta 17.1. Introduction to artificial intelligence (AI) in healthcare 335 17.2. Literature review 337 17.3. Methodology 340 17.4. How AI is disrupting healthcare today 342 17.5. Applications of AI across medical domains 343 17.6. Benefits of AI in healthcare 346 17.7. Challenges and ethical issues 348 17.8. The future of AI in healthcare 351 17.9. Conclusion 354 17.10. References 355 Chapter 18. Foundation of Artificial Intelligence in Healthcare 359 RUCHI, BAANI, Vikas WASSON and Kamini JOSHI 18.1. Introduction 360 18.2. Overview of AI 362 18.3. AI applications in medicine: literature review 365 18.4. AI-based healthcare: methodologies 370 18.5. Conclusion and future scope 378 18.6. References 379 List of Authors 385 Index 389 Summary of Volume 1 391

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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. 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.

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