Advances in Medical Imaging

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.

• Chapter 1. Machine Learning and Optimization Techniques for Next-Generation Healthcare Devices. Chapter 2. Metaheuristic Optimization Techniques for Advancing Healthcare and Artificial Intelligence Applications. Chapter 3. Multi-Class Disease Classification Advanced Approaches for Accurate and Scalable Diagnostics. Chapter 4. A review on Intelligent imaging in Microbiology diagnostics: Advances, applications, and ethics. Chapter 5. Integration of Artificial Intelligence in the prediction and management of ocular diseases. Chapter 6. Dissecting the Role of Artificial Intelligence's in Iron and Vitamin B12 Deficiency Detection. Chapter 7. Explainable AI in Healthcare. Chapter 8. Technology-Enhanced Infection Control: Bridging Gaps in Healthcare-Associated Infection Management. Chapter 9. Explainable Deep Learning Models for Medical Image Diagnostics: Bridging Accuracy and Transparency. Chapter 10. Artificial Intelligence Across Multiple Domains in Neuroradiology: A Review. Chapter 11. Machine Learning and Optimization for Future Healthcare Devices. Chapter 12. Overcoming challenges and unlocking potential: IoT adoption in smart healthcare systems. Chapter 13. Explainable Artificial Intelligence for Smart Healthcare Systems. Chapter 14. IoT in the Medical Healthcare System. Chapter 15. Comparative Analysis of Machine Learning Models for COPD Severity Prediction in Air Pollution Contexts. Chapter 16. Early Detection of Diabetes Severity Using Interpretable Machine Learning on Multi-Dimensional Clinical Data. Chapter 17. Introduction and fundamentals of AI in image processing. Chapter 18. Deep Learning Architectures for Medical Image Analysis. Chapter 19. A Summary of Recent Progress in Multimodal Medical Image Fusion Methods for Improved Diagnosis. Chapter 20. Case Study of Artificial Intelligence Technology in the Healthcare Industry as a Digital Healthcare System