Keywords

AI in Healthcare, Telemedicine Applications, Digital Health Transformation, Blockchain in Healthcare Supply Chain, Smart Healthcare Systems, Machine Learning in Diagnostics, Predictive Healthcare Analytics, AI Robotics in Surgery, IoT in Healthcare Monitoring, Big Data in Healthcare, Healthcare Chatbots AI, Patient-Centric Healthcare Technology, Healthcare Data Privacy and Ethics, Artificial Intelligence in Disease Prediction, NLP in Healthcare Communication, Large Language Models in Healthcare, Digital Twins in Healthcare Systems, Healthcare Technology Adoption, Ethical AI in Healthcare, Smart Healthcare Governance

Transforming Healthcare Services through Computational Intelligence and Smart Technologies: Volume 02 : EvolveTech: The Future is Now - Volume 02

edited by: Nishant Kumar, Ganesh V. Radhakrishnan, Kamal Upreti, Brijesh Sivathanu & Akhilesh Tiwari
ISBN: 9789372199352 | Binding: Hardback | Pages: 400 | Language: English | Copyright: 2026
Length: 22.9 mm | Breadth: 14.25 mm | Height: 3.570 mm | Imprint: NIPA | Weight: GMS
INR 3,600.00 INR 3,240.00
 
This book will be available from 13-Aug-2026

Transforming Healthcare Service through Computational Intelligence and Smart Technologies presents a comprehensive exploration of how AI, machine learning, blockchain, IoT, and emerging digital innovations are reshaping modern healthcare systems. This edited volume integrates technological advancements with human-centered design, ethical governance, and real-world applications across diverse medical scenarios. Covering areas such as telemedicine, predictive diagnostics, robotic surgery, smart infrastructure, and data-driven healthcare ecosystems, the book highlights both opportunities and challenges in digital health transformation. Designed for academicians, researchers, practitioners, and policymakers, it offers valuable insights into building efficient, transparent, and patient-centric healthcare systems for the future.

Part I : AI, Telemedicine, and Digital Transformation in Healthcare
Chapter 1. Case studies on AI driven healthcare system and Telemedicine applications 
Chapter 2. Blockchain in Combating Supply Chain Transparency and Pharmaceutical Fraud 
Chapter 3. Telemedicine Acceptance: Switching Stimuli and Consequences
Chapter 4. The Employee Resistance to the AI-Powered Smart Watches  
Chapter 5. An Empirical Study on Consumer Acceptance of AI Chatbots in the Healthcare Sector 
Part II: Intelligent Systems and Advanced Healthcare Technologies
Chapter 6. Machine Learning Applications for Diagnostics and Predictive Healthcare Services 
Chapter 7. AI-Enabled Robotics Surgery for Efficacious Patient Care 
Chapter 8. Adoption of Artificial Intelligence in Healthcare Management: 
Chapter 9. Artificial Intelligence in Diabetes and Cancer: Advances, Challenges, and Future Directions 
Chapter 10. Iot and Smart Monitoring Systems in Healthcare: Big Data Analytic Based Approach
Part III: Ethical, Human-Centric, and Language-Based AI Innovations
Chapter 11. Leadership and Ethical Challenges in Deploying AI-Based Financial Scam Prevention in Healthcare 
Chapter 12.Transforming Healthcare with Technology: A Case Study of Bihar’s Health-Tech Company 
Chapter 13 Artificial Intelligence & NLP with a Human Touch:Building Patient Confidence Through Explainability 
Chapter 14. Heart Health 2.0: Leveraging Machine Learning and NLP for Accurate  
Chapter 15. Transforming healthcare with Large Language Model  
Part IV: Emerging Architectures and Governance in Smart Healthcare
Chapter 16. Enhancing Healthcare Ecosystems through the Integration of IoT for Patient-Centric Solutions  
Chapter 17. Governing Digital Twins in Smart Healthcare Systems  
Chapter 18. Human-Driven Autonomy: Building Trustworthy and Collaborative Interaction Models  

 
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