This book investigates the application of advanced imaging techniques and machine learning for the early diagnosis of cardiovascular and coronary artery disease. The authors, Ayman S. El-Baz and Jasjit Suri, present a comprehensive overview of established and emerging technologies in the field. It details the use of echocardiography, nuclear imaging, magnetic resonance imaging (MRI), CT, and PET technologies, focusing on state-of-the-art automated non-invasive systems. The text also explores current trends, challenges, and the latest techniques in cardiovascular and coronary image analysis, integrating machine learning, deep learning, and reinforcement learning approaches.

This volume is positioned as a technical resource for professionals and researchers in cardiovascular imaging and artificial intelligence. It aims to provide a thorough understanding of current methodologies and future prospects in the field. The integration of machine learning and deep learning techniques suggests a focus on computational approaches to diagnosis. The book likely appeals to a specialized audience seeking to advance diagnostic capabilities through technological innovation.