TY - JOUR
T1 - Artificial intelligence in cardiovascular CT: Current status and future implications
AU - Lin, Andrew
AU - Kolossváry, M. rton
AU - Motwani, Manish
AU - Išgum, Ivana
AU - Maurovich-Horvat, P. l
AU - Slomka, Piotr J.
AU - Dey, Damini
N1 - Funding Information: This work was supported in part by grants from the National Heart, Lung, and Blood Institute [ 1R01HL133616 and 1R01HL148787-01A1 ]. Publisher Copyright: © 2021 Society of Cardiovascular Computed Tomography
PY - 2021/11/1
Y1 - 2021/11/1
N2 - 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.
AB - 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.
KW - Algorithms
KW - Artificial intelligence
KW - Cardiovascular computed tomography
KW - Deep learning
KW - Humans
KW - Machine learning
KW - Predictive Value of Tests
KW - Tomography, X-Ray Computed
UR - http://www.scopus.com/inward/record.url?scp=85103596707&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.jcct.2021.03.006
DO - https://doi.org/10.1016/j.jcct.2021.03.006
M3 - Review article
C2 - 33812855
SN - 1934-5925
VL - 15
SP - 462
EP - 469
JO - Journal of cardiovascular computed tomography
JF - Journal of cardiovascular computed tomography
IS - 6
ER -