Artificial intelligence in coronary artery calcification scoring: Current progress and future directions

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Narrative review shows AI enhances coronary artery calcification scoring, indicating improved cardiovascular risk assessment.

AI algorithms improved CAC score accuracy significantly, with sensitivity and specificity around 90%.
Inter-observer variability reduced by up to 30%, allowing for more consistent risk evaluations.
Review utilized qualitative synthesis of findings from data across several major databases.
Future research should validate AI tools and develop user-friendly applications for diverse populations.

Ghaderi et al. (2025) studied this question.

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View Full Paper

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Authors

Narrative review shows AI enhances coronary artery calcification scoring, indicating improved cardiovascular risk assessment.

AI algorithms improved CAC score accuracy significantly, with sensitivity and specificity around 90%.
Inter-observer variability reduced by up to 30%, allowing for more consistent risk evaluations.
Review utilized qualitative synthesis of findings from data across several major databases.
Future research should validate AI tools and develop user-friendly applications for diverse populations.

Ghaderi et al. (2025) studied this question.

View Full Paper

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