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Machine Learning in Cardiovascular Medicine,

Edition 1

Editors: Edited by Subhi J. Al'Aref, M.D., Gurpreet Singh, Lohendran Baskaran and Dimitri Metaxas

Publication Date: 27 Nov 2020

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Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine.

Key Features

Provides an overview of machine learning, both for a clinical and engineering audience
Summarize recent advances in both cardiovascular medicine and artificial intelligence
Discusses the advantages of using machine learning for outcomes research and image processing
Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

About the author

Edited by Subhi J. Al'Aref, M.D., Assistant Professor of Medicine University of Arkansas for Medical Sciences, Little Rock, Arkansas, U.S.A. ; Gurpreet Singh, Senior Manager, Data Science Capabilities Glaxosmithkline, based in Philadelphia, U.S.A. ; Lohendran Baskaran, Visiting Assistant Professor of Research in Radiology at Weill Cornell Medicine, New York Consultant Cardiologist with the Department of Cardiology at the National Heart Centre Singapore and Dimitri Metaxas, Distinguished Professor of Computer Science, Rutgers University, U.S.A. Director of the Center for Computational Biomedicine, Imaging and Modeling (CBIM)

ISBN: 9780128202739

Page Count: 454

Retail Price :

9780128039175; 9780128099292; 9780127999616; 9780128023853

Cardiovascular researchers, practicing clinicians, and engineers engaged in biomedical research. Computer Scientists