AI-driven Innovations in Physiotherapy and Oncology, Volume 1
Description
The 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.
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Persons
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.
Content
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