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Artificial Intelligence in Cardiothoracic Imaging

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  • © 2022

Overview

  • Provides a thorough overview of the future potential and current applications of AI for cardiothoracic imaging
  • Includes contributions from radiologists and IT professionals, giving a multidisciplinary view
  • Gives practical recommendations for the use of AI technology in clinical practice, showing optimal workflow integration

Part of the book series: Contemporary Medical Imaging (CMI)

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About this book

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. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents.
 
This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

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Table of contents (55 chapters)

  1. Artificial Intelligence: Cardiac Applications

  2. Artificial Intelligence: Thoracic Applications

  3. Artificial Intelligence: General Considerations

Editors and Affiliations

  • Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, USA

    Carlo N. De Cecco, Marly van Assen

  • Department of Radiology, Mayo Clinic, Rochester, USA

    Tim Leiner

About the editors

Carlo N. De Cecco, MD PhD is Associate Professor of Radiology and Biomedical Informatics, and Director of the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence in the Department of Radiology and Imaging Sciences at Emory University Hospital in Atlanta, USA. He is editor of the Springer books MDCT and MRI of the Heart (2014) and Dual Energy CT in Oncology (2015).

Marly van Assen, PhD is a Post-Doctoral Fellow in the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence in the Department of Radiology and Imaging Sciences at Emory University Hospital in Atlanta, USA.

Tim Leiner, MD PhD is Professor of Radiology at Utrecht University Medical Center in the Netherlands with a strong interest in development and clinical implementation of AI. 

Bibliographic Information

  • Book Title: Artificial Intelligence in Cardiothoracic Imaging

  • Editors: Carlo N. De Cecco, Marly van Assen, Tim Leiner

  • Series Title: Contemporary Medical Imaging

  • DOI: https://doi.org/10.1007/978-3-030-92087-6

  • Publisher: Humana Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-92086-9Published: 23 April 2022

  • Softcover ISBN: 978-3-030-92089-0Published: 17 May 2022

  • eBook ISBN: 978-3-030-92087-6Published: 22 April 2022

  • Series ISSN: 2626-6431

  • Series E-ISSN: 2626-6423

  • Edition Number: 1

  • Number of Pages: XXIV, 595

  • Number of Illustrations: 33 b/w illustrations, 200 illustrations in colour

  • Topics: Imaging / Radiology

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