Overview

Full Product Details

Author:   Abhishek Kumar (Chandigarh University, India) ,  Priya Batta (Amity University, India) ,  Sachin Ahuja (Chandigarh University, India) ,  Pramod Singh Rathore (Manipal University Jaipur, India)
Publisher:   ISTE Ltd
Imprint:   ISTE Ltd
ISBN:  

9781836690474

ISBN 10:   1836690479
Pages:   400
Publication Date:   22 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Preface xxi Abhishek KUMAR, Priya BATTA, Sachin AHUJA and Pramod Singh RATHORE Chapter 1. Transforming Post-Operative Rehabilitation: AI-integrated Physiotherapy in Orthopedics and Oncology 1 Radhika CHINTAMANI, G. VARADHARAJULU and G. HIMASHREE 1.1. Introduction 2 1.2. Internal and external fixators 3 1.4. Conclusion 14 1.5. References 15 Chapter 2. AI-enhanced Virtual Rehabilitation: The Future of Cancer Recovery 19 Omkar SOMADE, Rashmi GUDUR, Nitin K. CHAUDHARY and Mahendra ALATE 2.1. Introduction 20 2.2. Background and need for AI in cancer rehabilitation 20 2.3. AI technologies in virtual rehabilitation 22 2.4. Current applications and case studies 24 2.5. Clinical effectiveness and outcomes 25 2.6. Ethical, legal and technical challenges 26 2.7. Future directions 27 2.8. Conclusion 29 2.9. References 29 Chapter 3. Predictive Analytics in Physiotherapy and Oncology: Optimizing Treatment Plans 33 S. ANANDH, Suresh J. BHOSALE and Vivek PARHATE 3.1. Introduction 33 3.2. Background and rationale 35 3.3. Predictive analytics in physiotherapy 37 3.4. Predictive analytics in oncology 41 3.5. Methodological framework 41 3.6. Challenges and limitations 42 3.7. Ethical and regulatory considerations 44 3.8. Future directions 44 3.9. Conclusion 45 3.10. References 46 Chapter 4. Integrating AI with Physiotherapy to Improve Quality of Life for Cancer Patients 49 Namrata KADAM, Rashmi GUDUR and Vivek DESHPANDE 4.1. Introduction 50 4.2. Role of physiotherapy in cancer care. 51 4.3. AI technologies in healthcare 53 4.4. Integrating AI into physiotherapy for cancer patients 56 4.5. Case studies and applications 58 4.6. Benefits of AI-enhanced physiotherapy 59 4.7. Ethical and technical challenges 61 4.8. Proposed framework for AI-integrated physiotherapy 61 4.9. Future directions 62 4.10. Conclusion 62 4.11. References 63 Chapter 5. AI-driven Imaging in Oncology and Physiotherapy: A Game-changer in Diagnostics 67 S. ANANDH, Anand GUDUR and Manoj VAIRALKAR 5.1. Introduction 68 5.2. The role of medical imaging in oncology and physiotherapy 70 5.3. AI technologies in medical imaging 71 5.4. AI-driven imaging in oncology: applications and benefits 73 5.5. AI in physiotherapy imaging: a revolution in functional assessment 76 5.6. Limitations, challenges and ethical considerations in implementing AI-driven imaging in clinical practice 76 5.7. Future directions and innovations in AI imaging for oncology and physiotherapy 77 5.8. Conclusion 79 5.9. References 80 Chapter 6. AI-driven Innovations in Biomaterial-based Physiotherapy and Oncology: Personalizing Patient Care Through Intelligent Monitoring and Predictive Rehabilitation 85 G. HIMASHREE, G. VARADHARAJULU and Radhika CHINTAMANI 6.1. Interactions with blood and proteins 86 6.2. Wound healing response after biomaterial implantation 86 6.3. Effect of tissue biomaterial interaction on physiotherapy 87 6.4. Metallic corrosions 89 6.5. Effect of corrosion on physiotherapy regimen 90 6.6. Biomaterial degradation and resorption 91 6.7. Artificial intelligence in detecting biodegradation and absorption 92 6.8. Effect of biomaterial degradation and resorption on physiotherapy 95 6.9. AI aiding physiotherapist to diagnose the degradation during intervention 97 6.10. Conclusion 100 6.11. References 100 Chapter 7. Telemedicine and AI in Physiotherapy and Oncology: Bridging Gaps in Care 105 Ankita DURGAWALE, Anand GUDUR and Vivek DESHPANDE 7.1. Introduction 105 7.2. The role of telemedicine in oncology and physiotherapy 107 7.3. AI in oncology and physiotherapy: enhancing care delivery 108 7.4. Case studies and implementation models 109 7.5. Benefits of integrating AI and telemedicine in oncology and physiotherapy 110 7.6. Challenges and barriers 113 7.7. Future directions and innovations 116 7.8. Conclusion 118 7.9. References 119 Chapter 8. Personalized AI-based Exercise Therapy for Oncology and Physiotherapy Patients 123 Ankita DURGAWALE, Rashmi GUDUR and Vivek DESHPANDE 8.1. Introduction 124 8.2. Background. 124 8.3. Technological framework 126 8.4. Application in oncology 130\ 8.5. Application in physiotherapy 132 8.6. Clinical implementation 135 8.7. Benefits and outcomes 137 8.8. Challenges and limitations 138 8.9. Future directions 139 8.10. Conclusion 139 8.11. References 140 Chapter 9. Neural Networks in Physiotherapy and Oncology: Enhancing Recovery Pathways 145 Chandrakant PATIL, Dhiraj Kumar MANE, Anand GUDUR and Kalpana MALPE 9.1. Introduction 146 9.2. Neural networks: concepts and healthcare integration 148 9.3. Neural networks in oncology 149 9.4. Neural networks in physiotherapy 151 9.5. Cross-disciplinary applications 152 9.6. Challenges and limitations 154 9.7. Future prospects 156 9.8. Conclusion 157 9.9. References 158 Chapter 10. AI-enabled Chatbots and Virtual Assistants in Oncology and Physiotherapy 161 Namrata KADAM, Rashmi GUDUR, Dhiraj Kumar MANE and Vivek DESHPANDE 10.1. Introduction 162 10.2. Technological foundation 163 10.3. Applications in oncology 164 10.4. Applications in physiotherapy 167 10.5. Case studies 169 10.6. Benefits and impact 170 10.7. Limitations and challenges 172 10.8. Future directions 174 10.9. Conclusion 175 10.10. References 176 Chapter 11. AI-driven Sensor Technologies in Physiotherapy and Oncology: Transforming Rehabilitation Through Intelligent Biomechanical Monitoring 179 G. VARADHARAJULU, Radhika CHINTAMANI and G. HIMASHREE 11.1. Introduction 180 11.2. Sensors for monitoring human motion 181 11.3. Biophysical measurements in physiotherapy 188 11.4. Conclusion 217 11.5. References 218 Chapter 12. Big Data and AI in Physiotherapy and Cancer Treatment: From Research to Practice 225 Chandrakant PATIL, Dhiraj Kumar MANE, Anand GUDUR and Kalpana MALPE 12.1. Introduction 226 12.2. Big Data and AI: definitions and scope 228 12.3. Big Data and AI in oncology 229 12.4. Big Data and AI in physiotherapy 231 12.5. Integration in cancer care: combined oncology and physiotherapy applications 233 12.6. Translational pathways: from research to practice 234 12.7. Case studies 234 12.8. Challenges and limitations 235 12.9. Future directions 235 12.10. Conclusion 238 12.11. References 238 Chapter 13. Emerging AI Technologies Shaping the Future of Cancer Care 241 Omkar SOMADE, Rashmi GUDUR, Nitin K. CHAUDHARY and Mahendra ALATE 13.1. Introduction 241 13.2. AI in early detection and diagnosis 242 13.3. AI in genomics and precision medicine 245 13.4. AI in treatment planning and optimization 246 13.5. AI in drug discovery and development 249 13.6. AI in patient monitoring and support 251 13.7. Ethical and legal considerations 253 13.8. Integration challenges and implementation 256 13.9. Future outlook 256 13.10. Conclusion 256 13.11. References 257 Chapter 14. AI-driven Motion Analysis for Physiotherapy in Cancer Survivors 261 Trupti YADAV, Anand GUDUR and Vibha VYAS 14.1. Introduction 261 14.2. The role of physiotherapy in cancer survivorship 263 14.3. AI and motion analysis: technologies and techniques 265 14.4. Applications in physiotherapy for cancer survivors 268 14.5. AI in home-based rehabilitation 269 14.6. Case studies and clinical trials 271 14.7. Benefits of AI-driven motion analysis 273 14.8. Challenges and limitations 274 14.9. Future directions 274 14.10. Conclusion 275 14.11. References 276 Chapter 15. AI-driven Innovations in Physiotherapy and Oncology: Advancing Postural Assessment, Rehabilitation and Patient-centered Care 279 G. HIMASHREE, Radhika CHINTAMANI and G. VARADHARAJULU 15.1. Posture detector 280 15.2. Force plates 294 15.3. Conclusion 305 15.4. References 306 Chapter 16. Key Technologies of Artificial Intelligence: Robotics, Wearables and Big Data 309 Rohini BAWA and Surekha RANI 16.1. Introduction 309 16.2. Intervention of artificial intelligence (AI) in robotics and automation 310 16.3. Future fabric: smart clothing with AI 317 16.4. AI wearables for the military 319 16.5. AI wearables in the fashion industry 320 16.6. AI technology for handling big data 320 16.7. Use of AI-handled big data 322 16.8. Conclusion and future scope 324 16.9. References 324 Chapter 17. Enhancing Health Data Security and Intelligence with Blockchain and Artificial Intelligence 329 Charu CHHABRA, Sohrab Ahmad KHAN, Harsirjan KAUR, Kusum YADAV and Mohd. MAZHAR 17.1. Introduction 329 17.2. The need for secure health data sharing 330 17.3. Privacy concerns and security constraints 332 17.4. Blockchain technology 332 17.5. Blockchain in health data sharing 334 17.6. Leveraging AI in health data sharing 337 17.7. Combining blockchain and AI for enhanced security 338 17.8. Challenges and concerns 339 17.9. Conclusion 341 17.10. References 341 List of Authors 345 Index 349 Summary of Volume 2 351

Reviews

Author Information

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.

Tab Content 6

Author Website:  

Countries Available

All regions