aceIs (AI-guided) coronary CT angiography ready for prime time in diabetes care and research?
Abstract Due to its increasing prevalence, the burden of diabetes-attributable cardiovascular disease is projected to increase substantially. At the same time, there is a growing need to better identify patients at the highest cardiovascular risk and to optimize the use of increasingly available—but costly—weight-, glucose-, and lipid-lowering therapies. We postulate that coronary computed tomography angiography (CCTA), potentially enhanced by novel artificial intelligence (AI)-based image analysis, could serve…
AI-based image analysis of coronary CT angiography could reduce radiologist workload and improve reproducibility, making cardiovascular risk assessment in high-risk diabetes patients more scalable.
The article is a perspective that postulates benefits and acknowledges unresolved issues, including contrast use and management of incidental findings or significant stenoses, rather than presenting measured outcomes.
Evidence
- Peer-reviewedCardiovascular Diabetology2026-10-17
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Truvace Impact Record TRV-2026-1822, v1: “Is (AI-guided) coronary CT angiography ready for prime time in diabetes care and research?.” Truvace, 2026-10-18. /record/TRV-2026-1822 (accessed at citation time). sha256 02cf3d910075cf03…
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