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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0628Certified recordPeer-reviewed

Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study

Objective To develop a predictive model for coronary atherosclerosis progression in patients with type 2 diabetes mellitus (T2DM) based on Artificial intelligence(AI)-derived coronary computed tomography angiography (CCTA) parameters combined with clinical indicators. Methods This retrospective study enrolled 114 patients with T2DM and non-obstructive coronary artery disease (1%-49% stenosis) who underwent CCTA at our hospital between September 2019 and September 2024. After follow-up of 1-5 years, patients were…

Health · G Space — documented gain · certified 2026-08-03 · v1 · article view · machine-readable

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Researchers developed a nomogram using AI-derived CCTA measures of pericoronary adipose tissue and plaque plus HbA1c to predict progression of non-obstructive coronary lesions in T2DM patients.

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Truvace Impact Record TRV-2026-0628, v1: “Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study.” Truvace, 2026-08-03. /record/TRV-2026-0628 (accessed at citation time). sha256 9f9e4c71e1022806…

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