Review highlights AI's role in improving risk prediction and quality of CT imaging for coronary artery disease.
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial role in its diagnosis and management. However, the clinical use of CT is limited by factors, such as suboptimal image quality, diagnostic complexity and the labour-intensive nature of parameter evaluation. Artificial intelligence (AI) is increasingly transforming many areas of medicine. Its integration into CAD CT imaging can enhance image postprocessing, streamline anatomical and functional analyses, support treatment planning and improve risk prediction. This review summarises recent advances in these AI applications, aiming to promote their practical adoption and further development.
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Zhang et al. (2025) studied this question.
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