1st Edition
Advances in Medical Imaging Identifying Diagnostics and Prognosis Patterns in Healthcare Systems
Chapter 1. Machine Learning and Optimization Techniques for Next-Generation Healthcare Devices
Aarthi S., Ravikumar R. N.
Chapter 2. Metaheuristic Optimization Techniques for Advancing Healthcare and Artificial Intelligence Applications
Ravikumar R. N., Aarthi S.
Chapter 3. Multi-Class Disease Classification Advanced Approaches for Accurate and Scalable Diagnostics
Ravikumar R. N., Aarthi S.
Chapter 4. A review on Intelligent imaging in Microbiology diagnostics: Advances, applications, and ethics
Ranjay Kumar Choudhary, Vikas Tiwari, Shweta Shanoo Sharma, Sapna, Ashish Rayal, Vivek Kumar Garg
Chapter 5. Integration of Artificial Intelligence in the prediction and management of ocular diseases
Simran Thapa, Alpana Kumari, Vivek Kumar Garg
Chapter 6. Dissecting the Role of Artificial Intelligence's in Iron and Vitamin B12 Deficiency Detection
Arindam Adhikary, Sakshi Jaswal, D. Jayarajan, Ranjay Kumar Choudhary, Subham Koundal, Vivek Kumar Garg
Chapter 7. Explainable AI in Healthcare
Ketan Sarvakar, Pravesh Patel, Jeel Patel
Chapter 8. Technology-Enhanced Infection Control: Bridging Gaps in Healthcare-Associated Infection Management
D. Jayarajan, Rahul Kumar Sharma, Minhaj Ul Aalam, Ranjay Kumar Choudhary, Shubham Koundal, Shweta, Vivek Kumar Garg
Chapter 9. Explainable Deep Learning Models for Medical Image Diagnostics: Bridging Accuracy and Transparency
Nishit Bohra
Chapter 10. Artificial Intelligence Across Multiple Domains in Neuroradiology: A Review
Sunil Kumar, Vivek Kumar Garg, Aditya Kamboj, Amit Kumar Singh, Sapna
Chapter 11. Machine Learning and Optimization for Future Healthcare Devices
Meenakshi Munjal, Mohit Garg
Chapter 12. Overcoming challenges and unlocking potential: IoT adoption in smart healthcare systems
N.Indhupriya, G.Gnanaselvi, Sivakumar Somasundaram
Chapter 13. Explainable Artificial Intelligence for Smart Healthcare Systems
Ghaliya AlFarsi, Mohammed Waseem Ashfaque
Chapter 14. IoT in the Medical Healthcare System
Piyush Topiya, Bhumit Chavda, Kapil Kumar
Chapter 15. Comparative Analysis of Machine Learning Models for COPD Severity Prediction in Air Pollution Contexts
Priyanshi Kotlia, Janmejay Pant, Hitesh Kumar Pant, Pratibha Pant
Chapter 16. Early Detection of Diabetes Severity Using Interpretable Machine Learning on Multi-Dimensional Clinical Data
Janmejay Pant, Priyanshi Kotlia, Hitesh Kumar Pant, Pratibha Pant, Ashish Rayal
Chapter 17. Introduction and fundamentals of AI in image processing
Mohammed Waseem Ashfaque, Ghaliya AlFarsi, Sohail Iqbal Malik, Yasser Wazery, Charansing N. Kayte
Chapter 18. Deep Learning Architectures for Medical Image Analysis
Basudeo Singh Roohani, Nitin Sharma, Deepak Negi
Chapter 19. A Summary of Recent Progress in Multimodal Medical Image Fusion Methods for Improved Diagnosis
Kapil Joshi, Sanjiv kumar, Mo Ateeb Ansari, Ashish Rayal, Ritesh Rastogi, Vineeta Singh
Chapter 20. Case Study of Artificial Intelligence Technology in the Healthcare Industry as a Digital Healthcare System
Harishchander Anandaram, Farhad Alam, Kawerinder Singh Sidhu, Kapil Joshi, Dev Baluni, Ashish Rayal
Biography
Kapil Joshi is an Associate Professor in the Department of Computer Science & Engineering (CSE) at Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, Uttarakhand, India. He has more than 10 years' experience in industry, academic, and research. His areas of interest are Operating System, Computer Networks, Web Technology, Data Structure and Java.
Keshav Kaushik is a distinguished cybersecurity researcher and digital forensics expert, globally recognized in the Stanford–Elsevier Top 2% Scientists list (2024, 2025). Currently an Associate Professor at Sharda University, he has published 250+ research papers, 40 books, and holds 15 granted patents in AI-enabled security systems, blockchain architectures, and IoT innovations. His work appears in high-impact journals including Scientific Reports, ACM TOSN, IT Professional, and Sustainability. Dr. Kaushik also serves as Guest Editor for IEEE JBHI and Associate Editor for international publishers, contributing significantly to global cybersecurity research, education, and innovation.
Priyanka Gaur is an Assistant Professor in the Department of Computer Applications at Graphic Era (Deemed to be) University, Dehradun, Uttarakhand, India bringing with her a diverse range of academic and administrative experience.
