Sandeep Sharma, PhD is an assistant professor in Bharati Vidyapeeth’s College of Engineering. He has published more than 15 research papers in reputed journals and one patent. His main area of focus is the use of heuristic techniques for finding the optimal parameters of FACTS devices in power systems. Preeti Nagrath, PhD is an associate professor in Bharati Vidyapeeth’s College of Engineering with more than 20 years of academic experience. She has published over 80 research papers in international journals and international conferences, four books, and two patents. His research interests include network security, delay-tolerant networks, machine learning, and deep learning. Bhawna Singla, PhD is a professor in the Computer Science and Engineering Department at the Panipat Institute of Engineering and Technology. She has published two edited books, three patents, and 30 research articles in international journals and conferences. His research interests include artificial intelligence, machine learning, data science, and networking Joel J.P.C. Rodrigues is a professor in the College of Computer Science and Technology at the China University of Petroleum, a senior researcher at the Instituto de Telecomunicações in Portugal, and a collaborator for the post-graduation program on teleinformatics engineering at the Federal University of Ceará in Brazil. He has authored and co-authored over 950 papers in refereed international journals and conferences, three books, and two patents. His research interests include sensor networks, Internet of Things, eHealth, vehicular networks, and cloud computing.

• Preface xxi1 Smart Aging: Harnessing Artificial Intelligence in Elderly Healthcare 1S.C. Vetrivel, V. Sabareeshwari, Ramya Ambikapathi, V.P. Arun and K.C. Sowmiya1.1 Introduction 21.2 Demographics and Aging Population 31.3 Healthcare Needs of the Elderly 61.4 Current Healthcare Technologies for the Elderly 91.5 AI in Diagnostics and Early Detection 121.6 Remote Monitoring and Telehealth 141.7 Personalized Medicine for the Elderly 171.8 Cognitive Assistance and Mental Health 181.9 Ethical Considerations and Privacy Issues 211.10 Integration of AI into Healthcare Systems 221.11 Future Trends and Innovations 261.12 Conclusion 272 Telehealth Use Among Older Adults During COVID 19 33Ramkrishna Mondal2.1 Introduction 342.2 Telehealth in Geriatrics 362.3 Role of Telehealth During the COVID Pandemic for the Elderly 412.3.4 Use of Telemedicine to Meet Healthcare Needs of Older Adults 462.4 Factor Affecting Utilization of Telehealth in the Elderly during COVID- 19 482.5 Experiences of Telehealth in the Elderly 522.6 Perception of Telehealth Among Elderly and Physicians 582.7 Challenges and Barriers of Telehealth for the Elderly 602.8 Future Direction and Lesson Learned 672.9 Conclusion 683 IoT for Seniors: How Technology Improves Quality of Life of Older Adults 105Jyoti Agarwal, Wazih Ahmad, Imtiyazul Haq, Anu Saxena and T. Gopi Krishna3.1 Introduction to IoT for Seniors 1063.2 Smart Home Devices for Seniors 1083.3 Health and Wellness Monitoring 1113.4 Security and Safety of Seniors 1133.5 Social Connectivity through IoT 1183.6 Adapting Existing Devices for Seniors 1203.7 Overcoming Technological Barriers 1243.8 Future Trends in IoT for Seniors 1263.9 Conclusion 1304 AI and Robotics in Elderly Personal Assistance: Fostering Independent Living 135Divya Udayan J. and Umashankar Subramaniam4.1 Introduction 1364.2 Personalization in Elderly Healthcare 1374.3 Design of an Adaptive Real-Time Intervention System for Elderly in Ambient Assisted Living 1424.4 Effectiveness of Social Robots in Improving Independence of Elderly 1584.5 Conclusion 1635 Enabling Independence of Elderly People Using IoT Technology 169Raghav Pasrija, Sandeep Banerjee, Sandeep Sharma and Viktória Schneider5.1 Introduction 1705.2 Comprehending IoT: Development and Omnipresence 1715.3 Challenges Encountered by Elderly Individuals 1735.4 Constraints of Conventional Approaches 1745.5 Incorporating Internet of Things Technology into Elderly Care 1775.6 Advancement and Future Research 1825.7 Summary and Future Prospects 1855.8 Conclusion 1876 Intersection of AI Tools and Application for Elderly Healthcare 191Priyanka Suyal, Camellia Chakraborty, Kamal Kumar Gola, Mridula, Pavel Skrabanek, Sagar Gulati and Rajdeep Jung6.1 Introduction to the Health Tech Landscape 1926.2 AI-Driven Diagnostics, Imaging and Robotics 1956.3 Remote Healthcare Solutions for Elderly Well-Being 1986.4 Wearable Health Devices and Medication Management for the Elderly 2026.5 AI-Based Pain Management Strategies for Elderly Patients 2076.6 Future Directions and Ethical Considerations in AI-Driven Elderly Healthcare 2096.7 Medicare Cataloging Based on AI Technology 2136.8 Conclusion 2157 Technological Impact on Nutrition Management of Adults 219S.C. Vetrivel, V. Sabareeshwari, Ramya Ambikapathi, V.P. Arun and K.C. Sowmiya7.1 Introduction 2207.2 Emerging Technologies in Food Production 2227.3 Digital Health and Nutrition Tracking Apps 2267.4 Smart Kitchen Appliances and Gadgets 2297.5 Nutrigenomics and Personalized Nutrition 2317.6 Telehealth and Remote Nutrition Counseling 2347.7 Wearable Technology for Fitness and Nutrition 2367.8 Augmented Reality in Nutrition Education 2387.9 Blockchain in the Food Supply Chain 2407.10 Challenges and Ethical Considerations 2427.11 Future Trends in Technological Nutrition Management 2447.12 Conclusion 2468 Empowering Nutrition and Diet of Elderly People Using Digital Technology 251Shiva Tushir, Navidha Aggarwal, Himanshu Sehrawat and Sabina Yasmin8.1 Understanding Nutrition 2528.2 Various Types of Macronutrients and Micronutrients 2538.3 Nutrient Absorption and Metabolism 2568.4 Key Concepts and Terminology Related to Nutrition 2588.5 Fundamentals of Technology 2628.6 Introduction to Technology 2638.7 Need of Technology for Health 2648.8 Technology for Disease Management in COVID- 19 2668.9 Technological Interventions for Self-Care 2688.10 Artificial Intelligence 2698.11 Deep Learning 2718.12 Machine Learning 2728.13 Limitations of Machine Learning 2748.14 Role of Various Technological Interventions in Self-Care 2758.15 Possible Advantages 2768.16 Possible Limitations 2779 Healthcare 4.0: Healthcare in Technological World 281Manoj Kumar Mahto, Durgesh Srivastava and Santosh Kumar Srivastava9.1 Introduction 2829.2 AI-Powered Tools for Proactive Healthcare and Chronic Disease Management 2859.3 Transforming Remote Care with Telehealth and Connected Devices 2889.4 Personalized Care Plans and Decision Support Systems 2919.5 Challenges and Opportunities: Ethical Considerations and Future Directions 2949.6 Conclusion: A Future of Empowered and Accessible Elder Care 29910 Ethical Considerations in AI-Powered Nutrition Guidance: Balancing Privacy, Data Security, and Bias Mitigation 305Shweta Saraswat, Vrishit Saraswat, Kamalkant Jain and Shourya Sharma10.1 Introduction 30610.2 Privacy Concerns in AI-Powered Nutrition Guidance 31010.3 Data Security in AI-Powered Nutrition Guidance 31710.4 Bias Mitigation in AI-Powered Nutrition Guidance 32510.5 Recommendations and Best Practices 32910.6 Case Studies 33110.7 Future Perspectives 33310.8 Conclusion 33711 Prevention of Blindness for Diabetic Patients Using Deep Learning Techniques 343U. Sadhana, Beena B.M. and Prashanth C. Ranga11.1 Introduction 34411.2 Related Works 34611.3 Case Studies of Diabetic Retinopathy 34811.4 Techniques to Detect Diabetic Retinopathy 34811.5 Deep Learning Methods to Detect Diabetic Retinopathy 35111.6 Dataset 35211.7 Results 35211.8 Conclusion 35412 Transitioning to Healthcare 4.0: Embracing Digital Innovation for Enhanced Patient Care and Outcomes 359Navjot Singh Talwandi, Shanu Khare and Payal Thakur12.1 Understanding Healthcare 4.0 36012.2 Digital Transformation in Healthcare 36412.3 Leveraging Artificial Intelligence (AI) in Patient Care 36712.4 Internet of Things (IoT) in Healthcare 36912.5 Big Data Analytics for Healthcare Improvement 37212.6 Telemedicine and Remote Care Services 37512.7 Cybersecurity and Data Privacy in Healthcare 4.0 37812.8 Conclusion 380References 380About the Editors 383Index 387