AI-driven Innovations in Physiotherapy and Oncology, Volume 1

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.

• Preface xxiAbhishek KUMAR, Priya BATTA, Sachin AHUJA and Pramod Singh RATHOREChapter 1. Transforming Post-Operative Rehabilitation: AI-integrated Physiotherapy in Orthopedics and Oncology 1Radhika CHINTAMANI, G. VARADHARAJULU and G. HIMASHREE1.1. Introduction 21.2. Internal and external fixators 31.4. Conclusion 141.5. References 15Chapter 2. AI-enhanced Virtual Rehabilitation: The Future of Cancer Recovery 19Omkar SOMADE, Rashmi GUDUR, Nitin K. CHAUDHARY and Mahendra ALATE2.1. Introduction 202.2. Background and need for AI in cancer rehabilitation 202.3. AI technologies in virtual rehabilitation 222.4. Current applications and case studies 242.5. Clinical effectiveness and outcomes 252.6. Ethical, legal and technical challenges 262.7. Future directions 272.8. Conclusion 292.9. References 29Chapter 3. Predictive Analytics in Physiotherapy and Oncology: Optimizing Treatment Plans 33S. ANANDH, Suresh J. BHOSALE and Vivek PARHATE3.1. Introduction 333.2. Background and rationale 353.3. Predictive analytics in physiotherapy 373.4. Predictive analytics in oncology 413.5. Methodological framework 413.6. Challenges and limitations 423.7. Ethical and regulatory considerations 443.8. Future directions 443.9. Conclusion 453.10. References 46Chapter 4. Integrating AI with Physiotherapy to Improve Quality of Life for Cancer Patients 49Namrata KADAM, Rashmi GUDUR and Vivek DESHPANDE4.1. Introduction 504.2. Role of physiotherapy in cancer care. 514.3. AI technologies in healthcare 534.4. Integrating AI into physiotherapy for cancer patients 564.5. Case studies and applications 584.6. Benefits of AI-enhanced physiotherapy 594.7. Ethical and technical challenges 614.8. Proposed framework for AI-integrated physiotherapy 614.9. Future directions 624.10. Conclusion 624.11. References 63Chapter 5. AI-driven Imaging in Oncology and Physiotherapy: A Game-changer in Diagnostics 67S. ANANDH, Anand GUDUR and Manoj VAIRALKAR5.1. Introduction 685.2. The role of medical imaging in oncology and physiotherapy 705.3. AI technologies in medical imaging 715.4. AI-driven imaging in oncology: applications and benefits 735.5. AI in physiotherapy imaging: a revolution in functional assessment 765.6. Limitations, challenges and ethical considerations in implementing AI-driven imaging in clinical practice 765.7. Future directions and innovations in AI imaging for oncology and physiotherapy 775.8. Conclusion 795.9. References 80Chapter 6. AI-driven Innovations in Biomaterial-based Physiotherapy and Oncology: Personalizing Patient Care Through Intelligent Monitoring and Predictive Rehabilitation 85G. HIMASHREE, G. VARADHARAJULU and Radhika CHINTAMANI6.1. Interactions with blood and proteins 866.2. Wound healing response after biomaterial implantation 866.3. Effect of tissue biomaterial interaction on physiotherapy 876.4. Metallic corrosions 896.5. Effect of corrosion on physiotherapy regimen 906.6. Biomaterial degradation and resorption 916.7. Artificial intelligence in detecting biodegradation and absorption 926.8. Effect of biomaterial degradation and resorption on physiotherapy 956.9. AI aiding physiotherapist to diagnose the degradation during intervention 976.10. Conclusion 1006.11. References 100Chapter 7. Telemedicine and AI in Physiotherapy and Oncology: Bridging Gaps in Care 105Ankita DURGAWALE, Anand GUDUR and Vivek DESHPANDE7.1. Introduction 1057.2. The role of telemedicine in oncology and physiotherapy 1077.3. AI in oncology and physiotherapy: enhancing care delivery 1087.4. Case studies and implementation models 1097.5. Benefits of integrating AI and telemedicine in oncology and physiotherapy 1107.6. Challenges and barriers 1137.7. Future directions and innovations 1167.8. Conclusion 1187.9. References 119Chapter 8. Personalized AI-based Exercise Therapy for Oncology and Physiotherapy Patients 123Ankita DURGAWALE, Rashmi GUDUR and Vivek DESHPANDE8.1. Introduction 1248.2. Background. 1248.3. Technological framework 1268.4. Application in oncology 130\8.5. Application in physiotherapy 1328.6. Clinical implementation 1358.7. Benefits and outcomes 1378.8. Challenges and limitations 1388.9. Future directions 1398.10. Conclusion 1398.11. References 140Chapter 9. Neural Networks in Physiotherapy and Oncology: Enhancing Recovery Pathways 145Chandrakant PATIL, Dhiraj Kumar MANE, Anand GUDUR and Kalpana MALPE9.1. Introduction 1469.2. Neural networks: concepts and healthcare integration 1489.3. Neural networks in oncology 1499.4. Neural networks in physiotherapy 1519.5. Cross-disciplinary applications 1529.6. Challenges and limitations 1549.7. Future prospects 1569.8. Conclusion 1579.9. References 158Chapter 10. AI-enabled Chatbots and Virtual Assistants in Oncology and Physiotherapy 161Namrata KADAM, Rashmi GUDUR, Dhiraj Kumar MANE and Vivek DESHPANDE10.1. Introduction 16210.2. Technological foundation 16310.3. Applications in oncology 16410.4. Applications in physiotherapy 16710.5. Case studies 16910.6. Benefits and impact 17010.7. Limitations and challenges 17210.8. Future directions 17410.9. Conclusion 17510.10. References 176Chapter 11. AI-driven Sensor Technologies in Physiotherapy and Oncology: Transforming Rehabilitation Through Intelligent Biomechanical Monitoring 179G. VARADHARAJULU, Radhika CHINTAMANI and G. HIMASHREE11.1. Introduction 18011.2. Sensors for monitoring human motion 18111.3. Biophysical measurements in physiotherapy 18811.4. Conclusion 21711.5. References 218Chapter 12. Big Data and AI in Physiotherapy and Cancer Treatment: From Research to Practice 225Chandrakant PATIL, Dhiraj Kumar MANE, Anand GUDUR and Kalpana MALPE12.1. Introduction 22612.2. Big Data and AI: definitions and scope 22812.3. Big Data and AI in oncology 22912.4. Big Data and AI in physiotherapy 23112.5. Integration in cancer care: combined oncology and physiotherapy applications 23312.6. Translational pathways: from research to practice 23412.7. Case studies 23412.8. Challenges and limitations 23512.9. Future directions 23512.10. Conclusion 23812.11. References 238Chapter 13. Emerging AI Technologies Shaping the Future of Cancer Care 241Omkar SOMADE, Rashmi GUDUR, Nitin K. CHAUDHARY and Mahendra ALATE13.1. Introduction 24113.2. AI in early detection and diagnosis 24213.3. AI in genomics and precision medicine 24513.4. AI in treatment planning and optimization 24613.5. AI in drug discovery and development 24913.6. AI in patient monitoring and support 25113.7. Ethical and legal considerations 25313.8. Integration challenges and implementation 25613.9. Future outlook 25613.10. Conclusion 25613.11. References 257Chapter 14. AI-driven Motion Analysis for Physiotherapy in Cancer Survivors 261Trupti YADAV, Anand GUDUR and Vibha VYAS14.1. Introduction 26114.2. The role of physiotherapy in cancer survivorship 26314.3. AI and motion analysis: technologies and techniques 26514.4. Applications in physiotherapy for cancer survivors 26814.5. AI in home-based rehabilitation 26914.6. Case studies and clinical trials 27114.7. Benefits of AI-driven motion analysis 27314.8. Challenges and limitations 27414.9. Future directions 27414.10. Conclusion 27514.11. References 276Chapter 15. AI-driven Innovations in Physiotherapy and Oncology: Advancing Postural Assessment, Rehabilitation and Patient-centered Care 279G. HIMASHREE, Radhika CHINTAMANI and G. VARADHARAJULU15.1. Posture detector 28015.2. Force plates 29415.3. Conclusion 30515.4. References 306Chapter 16. Key Technologies of Artificial Intelligence: Robotics, Wearables and Big Data 309Rohini BAWA and Surekha RANI16.1. Introduction 30916.2. Intervention of artificial intelligence (AI) in robotics and automation 31016.3. Future fabric: smart clothing with AI 31716.4. AI wearables for the military 31916.5. AI wearables in the fashion industry 32016.6. AI technology for handling big data 32016.7. Use of AI-handled big data 32216.8. Conclusion and future scope 32416.9. References 324Chapter 17. Enhancing Health Data Security and Intelligence with Blockchain and Artificial Intelligence 329Charu CHHABRA, Sohrab Ahmad KHAN, Harsirjan KAUR, Kusum YADAV and Mohd. MAZHAR17.1. Introduction 32917.2. The need for secure health data sharing 33017.3. Privacy concerns and security constraints 33217.4. Blockchain technology 33217.5. Blockchain in health data sharing 33417.6. Leveraging AI in health data sharing 33717.7. Combining blockchain and AI for enhanced security 33817.8. Challenges and concerns 33917.9. Conclusion 34117.10. References 341List of Authors 345Index 349Summary of Volume 2 351