Intelligent Imaging and Diagnosis in Healthcare

This new book explores the convergence of biomedical imaging, artificial intelligence, the metaverse, and exascale computing in modern healthcare. It examines how advanced computational technologies are transforming medical imaging, disease diagnosis, clinical decision-making, and patient care.Beginning with the fundamentals of biomedical image processing and image fusion, the volume progresses to AI-driven approaches for cancer detection, disease diagnosis, and Healthcare 4.0. It also reviews common diseases, prevention strategies, and emerging treatments while examining the integration of metaverse technologies and exascale computing into medical imaging systems, including challenges related to interoperability and standards. The book further explores AI-enabled communication between healthcare professionals and patients, diabetes prediction within metaverse environments, and the growing role of digital technologies in healthcare. Ethical, legal, and societal considerations are discussed alongside technical advances, providing a balanced perspective on the opportunities and challenges of next-generation healthcare.Concluding with advanced deep learning and content-based image retrieval techniques for diabetic retinopathy diagnosis, this volume provides a comprehensive overview of intelligent medical imaging and computational healthcare. It is a valuable resource for researchers, clinicians, engineers, graduate students, and healthcare innovators interested in the future of precision medicine and digital healthcare.