Health Informatics Using Artificial Intelligence

In the age of digital healthcare, medical imaging and disease diagnostics are being transformed by artificial intelligence. A thorough examination of state-of-the-art Computer-Aided Diagnosis (CAD) methods is provided by this book, which combines conventional machine learning, deep learning architectures, and cutting-edge technologies like generative AI.This book offers a critical analysis of several Convolutional Neural Network (CNN) models using benchmark datasets in a systematic review that follows the PRISMA methodology. It presents an improved diagnostic framework that is appropriate for real-time clinical applications since it delivers excellent accuracy with less processing complexity. This work is a vital resource for AI researchers, doctors, and students working at the nexus of intelligent computing and healthcare, with a particular emphasis on model evaluation, validation techniques, and real-world implementation.