Smart Medical Imaging for Diagnosis and Treatment Planning [Hardcover]

Section A: Introduction:?1.?Enhancing Intelligent Medical Imaging to Revolutionize Healthcare?Section B: Impact of AI in healthcare, medical diagnosis and treatment: 2.?Role of AI for Smart Health Diagnosis and Treatment?3.?Different Smart Diagnosis Processes of Alzheimer's Brain Disease Using AI Techniques?4.?Impact of Artificial Intelligence in Healthcare: Predictors of Multiple Sclerosis?Section C: Medical imaging technologies and their applications in diagnosis and treatment: 5.?Enhancing Patient Care with Modality-Based Image Registration in Modern Healthcare?6.?Fashionable and disposable electrochemical sensors as modern healthcare appliance?Section D: Infectious diseases detection and treatment planning: 7.?Smart healthcare systems in combating infectious diseases outbreaks?8.?Facemask and Handgloves Detection using Hybrid Deep Learning Model?Section E: Machine learning in medical diagnosis and treatment planning: 9.?Utilization of Machine Learning and Deep Learning Classifiers in Predicting Users Performance in Augmented Reality Surgical Environments: A Comparative Analysis?Section F: Use and regulation of digital health technologies in healthcare: 10.The Future of Medical Imaging: Ensuring Ethical and Legal Compliance.

This book presents advanced research on smart health technologies, focusing upon the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics.

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visitils›