AI Transforms Cardiac CT from Coronary Angiography to Perfusion Analysis

AI in cardiac CT now automates calcium scoring, stenosis detection, plaque quantification, CT-FFR, and perfusion analysis, with performances comparable to invasive standards; however, prospective validation remains lacking.

• AI automates many CCTA tasks, with deep learning models detecting stenosis and quantifying plaque as accurately as invasive methods.
• Machine learning-based CT-FFR enables functional evaluation directly from CCTA, improving efficiency over traditional fluid dynamics.
• Despite strong performance, most evidence is from retrospective studies with limited external and prospective validation.

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