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Artificial intelligence in cardiovascular CT: Current status and future implications
Lin, A.
;
Kolossváry, M. [Kolossváry, Márton József (Kardiológia), author]
;
Motwani, M.
;
Išgum, I.
;
Maurovich-Horvat, P. [Maurovich-Horvat, Pál (kardiológia), author] Orvosi Képalkotó Klinika (SU / FM / C)
;
Slomka, P.J.
;
Dey, D. ✉
English Survey paper (Journal Article) Scientific
Published:
JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY 1934-5925 1876-861X
15
(6)
pp. 462-469
2021
SJR Scopus - Cardiology and Cardiovascular Medicine: Q1
Identifiers
MTMT: 31966262
DOI:
10.1016/j.jcct.2021.03.006
WoS:
000714977600004
Scopus:
85103596707
PubMed:
33812855
Artificial 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. © 2021 Society of Cardiovascular Computed Tomography
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2025-04-25 05:35
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