Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification

Andrew Lin; Konrad Pieszko; Caroline Park; Katarzyna Ignor; Michelle C Williams; Piotr J Slomka; Damini Dey

doi:10.1259/bjro.20220021

Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification

Andrew Lin, Konrad Pieszko, Caroline Park, Katarzyna Ignor, Michelle C Williams, Piotr J Slomka, Damini Dey

Research output: Contribution to journal › Review article › peer-review

Abstract / Description of output

In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including computed tomography, magnetic resonance imaging, echocardiography, and nuclear myocardial perfusion imaging.

Original language	English
Journal	BJR\|Open
Early online date	19 Apr 2023
DOIs	https://doi.org/10.1259/bjro.20220021
Publication status	E-pub ahead of print - 19 Apr 2023

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AI CV Imaging Review BJR Open R3 for pureAccepted author manuscript, 171 KB

https://www.birpublications.org/doi/10.1259/bjro.20220021

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title = "Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification",

abstract = "In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including computed tomography, magnetic resonance imaging, echocardiography, and nuclear myocardial perfusion imaging. ",

author = "Andrew Lin and Konrad Pieszko and Caroline Park and Katarzyna Ignor and Williams, {Michelle C} and Slomka, {Piotr J} and Damini Dey",

year = "2023",

month = apr,

day = "19",

doi = "10.1259/bjro.20220021",

language = "English",

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AU - Lin, Andrew

AU - Pieszko, Konrad

AU - Park, Caroline

AU - Ignor, Katarzyna

AU - Williams, Michelle C

AU - Slomka, Piotr J

AU - Dey, Damini

PY - 2023/4/19

Y1 - 2023/4/19

N2 - In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including computed tomography, magnetic resonance imaging, echocardiography, and nuclear myocardial perfusion imaging.

AB - In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including computed tomography, magnetic resonance imaging, echocardiography, and nuclear myocardial perfusion imaging.

U2 - 10.1259/bjro.20220021

DO - 10.1259/bjro.20220021

M3 - Review article

SN - 2513-9878

JO - BJR|Open

JF - BJR|Open

ER -

Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification

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