Advances in Medical Imaging : Identifying Diagnostics and Prognosis Patterns in Healthcare Systems

This book discusses the key concepts of AI in imaging and healthcare. It includes a critical analysis of its algorithms and applications, along with emerging trends in medical diagnostics, device optimization, and personalized medicine.

This book discusses the key concepts of AI in imaging and healthcare. It includes a critical analysis of its algorithms and applications, along with emerging trends in medical diagnostics, device optimization, and personalized medicine. The book uses metadata heuristic algorithms, deep learning for disease detection, medical image segmentation, explainable AI, and IoT and hybrid algorithms integrating all this into the healthcare system. Besides, the book touches on specific issues such as CNNs, multi-class and multi-label disease classification, and digital transformation of health services. Special features of the book include:Multidisciplinary approach covering topics such as AI, deep learning, IoT, and metaheuristics with a focus on healthcare. Real examples with detailed information for analyzing current technologies. Discusses several topics on interpretability and ethical considerations in AI, making it rich material for technical experts and healthcare professionals. Identifies efficient models, with which the automated medical diagnosis and prognosis is possible. The book is specifically oriented towards researchers, practitioners, and students in the areas of artificial intelligence, medical imaging, healthcare technology, and bioinformatics.