This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians ability to take well-informed decisions and convey their reasoning to colleagues and patients.

This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective.