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J Cardiovasc Comput Tomogr · Mar 2021
ReviewArtificial intelligence in cardiovascular CT: Current status and future implications.
- Andrew Lin, Márton Kolossváry, Manish Motwani, Ivana Išgum, Pál Maurovich-Horvat, Piotr J Slomka, and Damini Dey.
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- J Cardiovasc Comput Tomogr. 2021 Mar 22.
AbstractArtificial intelligence (AI) refers to the use of computational techniques to mimic human thought processes and learning capacity. The past decade has seen a rapid proliferation of AI developments for cardiovascular computed tomography (CT). These algorithms aim to increase efficiency, objectivity, and performance in clinical tasks such as image quality improvement, structure segmentation, quantitative measurements, and outcome prediction. By doing so, AI has the potential to streamline clinical workflow, increase interpretative speed and accuracy, and inform subsequent clinical pathways. This review covers state-of-the-art AI techniques in cardiovascular CT and the future role of AI as a clinical support tool.Copyright © 2021 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.
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