Preface xxxv
1 Deep Learning Fundamentals for Sports Science: Data-Driven Models for Performance and Injury Prevention 1
Gitanjali Gupta and Inderdeep Kaur
1.1 Introduction to Deep Learning in Sports Science 2
1.2 Sports Science Data: Types, Sources, and Challenges 3
2 Computer Vision in Sports Medicine 37
Lokeshwer Sharma, Ravi Sandal, Ishan Thakur and Harish Sharma
3 Computer Vision and Deep Learning for Intelligent Sports Injury Monitoring: From Theory to Practice 57
Manju Lata Joshi, Megha Nain and Pratish Rawat
3.1 Introduction 58
3.2 Related Work 59
3.3 Background on Biomechanical Injury Factors and Vision Sensors 61
3.4 Deep Learning Framework for Vision-Based Injury 63
3.5 Experiments 66
3.6 Discussion 70
3.7 Future Work 73
3.8 Conclusion 75
4 Trusted AI Models for Sports Injury Detection - Interpretable, Secure, and Ethical Deep Learning Frameworks 81
Puja Srivastava, Inderdeep Kaur and Arti Shrivastava
4.1 Introduction 82
4.2 Sports Injury Detection: Challenges and Opportunities 83
4.3 Deep Learning for Sports Injury Detection 86
4.4 Trusted AI: Core Principles 89
4.5 Explainable AI Frameworks for Clinical Trust 95
4.6 Blockchain-Enabled Secure AI Systems 96
4.7 Ethical, Legal, and Regulatory Considerations 98
4.8 Future Directions and Research Challenges 101
4.9 Conclusion 101
5 Explainable and Trustworthy Deep Learning for Sports Injury Risk Assessment: A Blockchain-Enabled Framework 105
Mamta
5.1 Introduction 106
5.2 Literature Review and Research Gap Analysis 109
5.3 Sports Injury Risk Assessment: Data Characteristics and Challenges 113
5.4 Deep Learning-Based Risk Prediction in Sports Injuries 115
5.5 Explainable Artificial Intelligence for Sports Medicine Applications 117
5.6 Blockchain-Enabled Trust Mechanisms for Sports Health Analytics 119
5.7 Proposed Conceptual Framework for Explainable and Trustworthy Deep Learning 121
5.8 Application Scenarios and Practical Use-Case Illustrations 124
5.9 Ethical, Privacy, and Regulatory Concerns 126
5.10 Open Challenges, Limitations, Future Research 128
5.11 Conclusion 130
6 Artificial Intelligence for Athlete Performance Monitoring: Data-Driven Models for Optimization, Injury Prevention and Decision Support 137
Rajeshwari Pradhan and Inderdeep Kaur
6.1 Introduction 138
6.2 Data Sources for AI-Based Athlete Monitoring 139
6.3 AI and Machine Learning Techniques in Performance Monitoring 142
6.4 AI for Workload Optimization and Fatigue Detection 146
6.5 Injury Risk Prediction Using AI 148
6.6 Real-Time Analytics and Decision Support Systems 151
6.7 Athlete Profiling and Personalization 154
6.8 Ethical, Legal, and Reliability Considerations 156
6.9 Challenges and Future Directions 158
6.10 Conclusion 161
7 Personalized Training and Rehabilitation Plans Using AI in Sports Medicine 167
Sohom Saha, Mahendra Kumar Singh and Simran Obhrai
7.1 Introduction 168
7.2 Theoretical Foundation and AI Architecture 169
7.3 Multimodal Data Integration and Sensor Technologies 173
7.4 Injury Prediction and Prevention 177
7.5 Personalized Rehabilitation Protocols 179
7.6 Implementation Framework and Clinical Integration 182
7.7 Case Studies and Applications 184
7.8 Challenges and Limitations 185
7.9 Future Directions and Emerging Technologies 187
7.10 Conclusion 189
8 Blockchain Technology in Healthcare and Sports Medicine: Enhancing Data Security, Transparency, and Performance Analytics 195
Aditya Randev, Inderdeep Kaur and Aakriti Khanna
8.1 Introduction 196
8.2 Principles of Blockchain Technology 199
8.3 Blockchain in Healthcare Systems 203
8.4 Applications of Blockchain in Sports Medicine 208
8.5 Blockchain-Enabled Telemedicine and Remote Monitoring 211
8.6 Challenges and Limitations 214
8.7 Future Trends and Research Directions 217
8.8 Conclusion 220
9 Blockchain Technology in Healthcare and Sports Medicine 225
Seema Kharod, Jasneet Chawla and Hema Shekhawat
9.1 Introduction 226
9.2 Fundamentals of Blockchain Technology 227
9.3 Challenges in Health and Sports Data Systems: A Blockchain-Based Solution 229
9.4 Blockchain, IoT, and Wearables in Sports Medicine 235
9.5 Case Studies and Real-World Implementations 237
9.6 Future Trends in Blockchain for Health and Sports 240
9.7 Conclusion 242
10 Blockchain for Secure Athlete Health Records 245
Biswajit Das, Himanshu Pabbi, Shweta Singh, Monika Mehra, Ruchika, Ishakshi Gupta and Subhash Chandra
10.1 Introduction 246
10.2 Athlete Health Records and Security Challenges 247
10.3 Blockchain Fundamentals for Health Data Security 249
10.4 Proposed Blockchain-Based Athlete Health Record Framework 249
10.5 Machine Learning-Based Activity Classification 252
10.6 Experimental Results and Analysis 255
10.7 Security and Privacy Evaluation 257
10.8 Challenges and Limitations 259
10.9 Future Research Directions 259
10.10 Conclusion 260
11 Blockchain for Trust, Security and Data Management Smart Contracts in Sports Medicine 263
Aafrina Aarfa, Nahid Khan, Huma, Ifra Aman and Shaima Saifi
11.1 Introduction 264
11.2 Problems with Traditional Centralized Systems 264
11.3 Blockchain Technology 265
11.4 Blockchain-Secured Patient Digital Twins: A Next-Generation Framework for Personalized Sports Medicine 269
11.5 Blockchain-Enabled Sports Health Monitoring Systems: Improving Data Security and Privacy 274
11.6 Concept of Smart Contracts 277
11.7 Applications of Smart Contracts in Sports Medicine 279
11.8 Smart Contracts for Athlete Data Privacy and Consent 282
11.9 Smart Contract-Enabled Encrypted Role-Based Access Control for Healthcare 286
11.10 Practical Model of Blockchain-Based Digital Transactions in Sports Ecosystems 288
11.11 Ethical, Legal, and Regulatory Considerations 288
11.12 Limitation and Challenges 289
11.13 Future Scope and Research Directions 289
12 Blockchain and IoT Integration in Wearable Sports Devices for Secure and Intelligent Sports Medicine 295
Shubham Kumar, Inderdeep Kaur and Aakriti Khanna
12.1 Introduction to Wearable Sports Devices 296
12.2 IoT Use in Sports Medicine and Athlete Monitoring 297
12.3 Data Security and Privacy Challenges 299
12.4 Blockchain Fundamentals for Healthcare 302
12.5 Blockchain-IoT Architecture 303
12.6 Smart Contracts for Secure Data Sharing 305
12.7 Applications in Performance Analysis 309
12.8 Case Studies and Implementations 312
12.9 Challenges and Limitations 315
12.10 Ethical Considerations 317
12.11 Future Trends and Directions 319
12.12 Conclusion 320
13 Artificial Intelligence-Enabled Doping Detection and Prevention in Sports Using Blockchain Technology 325
Khalid Hafiz Mir and Anzah Bashir
13.1 Introduction 326
13.2 Doping Detection: Background and Limitations 327
13.3 Artificial Intelligence for Doping Detection 328
13.4 Blockchain for Integrity and Transparency 329
13.5 Integrated AI-Blockchain Framework 330
13.6 Operational Workflow 331
13.7 Privacy and Ethical Considerations 332
13.8 Applications and Benefits 332
13.9 Challenges and Limitations 334
13.10 Future Research Directions 334
13.11 Conclusion 335
14 Artificial Intelligence and Blockchain for Anti-Doping Control and Ethical Compliance in Sports Medicine 339
Anzah Bashir and Khalid Hafiz Mir
14.1 Introduction 340
14.2 Background and Motivation 341
14.3 Role of Artificial Intelligence in Anti-Doping and Ethics Monitoring 341
14.4 Role of Blockchain in Integrity and Transparency 342
14.5 Integrated AI-Blockchain Framework 342
14.6 Operational Workflow 344
14.7 Privacy and Ethical Considerations 345
14.8 Applications and Benefits 346
14.9 Challenges and Limitations 346
14.10 Future Research Directions 347
14.11 Conclusion 348
15 Deep Learning Insights with Blockchain Trust Using Conversational AI on Sports Medicine 351
Amanpreet Kaur and Neha Sharma
15.1 Introduction 352
15.2 Conversational AI Growth 354
15.3 Issues with Conversational AI 362
15.4 Ethical Considerations for Conversational AI 363
15.5 Challenges 363
15.6 Case Studies 364
15.7 Future Directions 365
15.8 Conclusion 367
16 AI-Powered Detection and Prevention of Doping in Sports: A Blockchain-Driven Approach to Integrity and Fairness 371
Abdul Malik Ansari
16.1 Introduction 372
16.2 Doping in Sports: Landscape, Challenges, and Threat Models 375
16.3 AI-Based Doping Detection: Foundations and Model Design 378
16.4 Blockchain for Anti-Doping Integrity: Secure Data Governance 381
16.5 Proposed Unified Framework: AI and Blockchain Architecture 383
16.6 Case Study/Simulation Design for Validation 386
16.7 Ethical, Legal, and Regulatory Considerations 387
16.8 Implementation Challenges and Future Research Directions 389
16.9 Conclusion 390
17 Case Studies in Data-Driven Sports Medicine 395
Anuj Tiwari
17.1 Introduction 396
17.2 Framework for Data-Driven Sports Medicine Systems 396
17.3 Case-Studies Design and Interpretation Approach 399
17.4 Case Studies 400
17.5 Cross-Case Synthesis and Emerging Patterns 414
17.6 Ethical, Operational, and Trust 418
17.7 Future Directions 419
18 Artificial Intelligence-Based Personalized Training and Rehabilitation Planning: Application in Sports Medicine 423
Jasia Farzeen, Huma Khan, Prachi Tiwari, Ifra Aman and Nahid Khan
19 Computer Vision and Deep Learning for Personalized Rehabilitation and Injury Prevention in Sports Medicine 441
Huma Khan, Jasia Farzeen, Sahar Zaidi, Ifra Aman and Nahid Khan
19.1 Introduction 442
19.2 Background and Conceptual Foundations 443
19.3 Methodological Framework of Computer Vision Systems 446
19.4 Computer Vision Use in Sports Medicine 450
19.5 Injury Prediction and Preventive Decision-Making 452
19.6 Challenges, Limitations, and Ethical Considerations 455
19.7 The Future of AI-Driven Sports Medicine 456
19.8 Discussion 456
19.9 Conclusion 458
20 Data-Driven Sports Medicine and Athlete Care: AI, Blockchain, and Explainable Deep Learning for Secure Performance Analytics and Anti-Doping Applications 461
Bhaskar Marapelli, G. Shivakanth, Peddini Suresh Kumar, Maddhigalla Lakshumaiah and K. Aruna Bhaskar
20.1 Introduction to Data-Driven Sports Medicine 462
20.2 Sports Data Ecosystem and Digital Health Infrastructure 464
20.3 Artificial Intelligence in Sports Medicine and Performance Analytics 466
20.4 Explainable Deep Learning to Care about Athletes 468
20.5 Blockchain Technology of Secure Sports Data Management 470
20.6 Artificial Intelligence-Blockchain Hybrid Sports Medicine 472
20.7 Artificial Intelligence and Secure Analytics in Anti-Doping 473
20.8 Regulatory, Ethical, and Other Legal Cases 475
20.9 Real-Life and Case Studies 476
20.10 Challenges and Limitations 477
21 Artificial Intelligence and Blockchain in Sports Medicine: Data-Driven, Secure, and Explainable Approaches for Performance, Injury Prevention, and Ethical Compliance 481
Bhaskar Marapelli, G. Shivakanth, Kankatala Mayuri, Bechoo Lal and K. S. Ranadheer Kumar
21.1 Introduction 482
21.2 The Digital Health Infrastructure and Sports Data Ecosystem 484
21.3 The Use of Artificial Intelligence in Sports Medicine and Athlete Performance 486
21.4 Sports Medicine Explainable Artificial Intelligence 487
21.5 Secure Sports Medicine Data Management Using Blockchain Technology 490
21.6 Artificial Intelligence-Blockchain Comprehensive Athlete Care 491
21.7 Applications of AI and Secure Analytics on Anti-Doping 492
21.8 Legal, Regulatory, and Ethical 495
21.9 Case Studies and Practical Applications 496
21.10 Future Directions and New Trends 497
22 Intelligent Sports Medicine Analytics: AI, Explainable Learning, and Blockchain for Secure and Predictive Athlete Care 501
Shabeena Khan, P. Dharmendhra Kumar, Pampana Murali and Shweta Solanki
22.1 Introduction 502
22.2 Sports Medicine Data Ecosystem 504
22.3 The Artificial Intelligence of Athlete Health and Performance 506
22.4 Elucidable Learning Models in Sports Medicine 507
22.5 Blockchain Secure Sports Medicine Analytics 510
22.6 AI and Blockchain Frameworks 512
22.7 Integrity Assurance and Anti-Doping Applications 513
22.8 Ethical, Legal, and Governance Accounts 515
22.9 Case Studies and Applications 517
23 Game-Theoretic Data-Driven Sports Medicine: Deep Learning and Blockchain-Enabled Trust 521
Kanika Singh, Aaryan Gupta, Kasvi Rajwar, Preeti Narooka and Sachi Singh
23.1 Introduction 522
23.2 Holistic View and Impact of Artificial Intelligence and Deep Learning in Smart Healthcare Systems 523
23.3 Uses of AR and VR in AI, Robotics, and Medical Procedures 531
23.4 AI for Athlete Performance Monitoring 532
23.5 Implications of AI and Deep Learning in Smart Healthcare Systems 536
23.6 Challenges in Implementing AI and Deep Learning in Smart Healthcare Systems 538
23.7 Future Directions of AI and Deep Learning in Smart Healthcare Systems 540
23.8 Conclusion 541
24 Future Horizons of Data-Driven Sports Medicine: Convergence of Deep Learning, Blockchain, Digital Twins, and Personalized Athlete Care 545
Dharmendra Dubey, Shweta Solanki, Shaloo Dadheech and Monika Tiwari
24.1 Introduction 546
24.2 Underpinnings of Data-Driven Sports Medicine 549
24.3 Athlete Health and Performance Deep Learning 552
24.4 Wearable Technologies and Edge AI 554
24.5 Incredible Blockchain in Trustworthy Sports Healthcare 557
24.6 Deep Learning and Blockchain Integration 559
24.7 Sports Medical Digital Twins 561
24.8 Personalized Athlete Care 562
24.9 Ethical, Legal, and Social Implications (ELSI) 565
24.10 Conclusion 567
25 Quantum Computing and Its Role in Medical Data Processing 569
Pratik S. Patel, Vaishali Patel and Sagar V. Fegade
25.1 Introduction 570
25.2 Fundamentals of Quantum Computing 571
25.3 Architecture of Quantum Computers 573
25.4 Medical Data Landscape 574
25.5 Quantum Algorithms for Medical Data Processing 577
25.6 Use Cases and Applications 579
25.7 Integration with Classical Systems 580
25.8 Case Studies 582
25.9 Future Directions 584
Conclusion 586
References 587
Index 589