Use of artificial intelligence in coronary artery calcium scoring

Coronary artery calcium (CAC) scoring improves traditional risk factor-based coronary heart disease (CHD) risk stratification. Here, the contribution of CAC scoring to a traditional 10-year CHD risk prediction scores and new artificial intelligence methods used to automate CAC scoring were reviewed....

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Bibliographic Details
Published inOman medical journal Vol. 38; no. 5; pp. 1 - 6
Main Authors Koponen, Mia, Anwaar, Waqas, Rahman, Habib-ur, Sheikh, Qasim, Sadiq, Fouzia
Format Journal Article
LanguageEnglish
Published Muscat, Oman Oman Medical Specialty Board 01.09.2023
OMJ
Subjects
Artificial intelligence
Calcium in human nutrition
Cardiovascular system
coronary arteries
coronary disease
Coronary heart disease
Diseases
Medical applications
Review
Treatment
vascular calcification
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Summary:Coronary artery calcium (CAC) scoring improves traditional risk factor-based coronary heart disease (CHD) risk stratification. Here, the contribution of CAC scoring to a traditional 10-year CHD risk prediction scores and new artificial intelligence methods used to automate CAC scoring were reviewed. Research shows that traditional risk factors tend to overestimate or underestimate the actual risk of CHD, meaning that including CAC score in the risk stratification has potential to reduce over- and undertreatment. The automated CAC scoring methods are shown to be accurate and significantly more time-effective than the commonly used semi-automated method.
Bibliography:Oman Medical Journal, Vol. 38, No. 5, Sep 2023, 1-6
Informit, Melbourne (Vic)
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:1999-768X
2070-5204
DOI:10.5001/omj.2023.73