Cleerly is highlighting clinical results presented at the American Heart Association meeting that suggest that its AI-guided quantitative coronary CT angiography (AI-QCT) ischemia algorithm improves cardiovascular risk prediction.
The research was conducted by a team led by Ibrahim Danad, MD, PhD, of the Amsterdam University Medical Center in the Netherlands. It included 6,550 patients who underwent coronary CT angiography over four years with AI-QCT. Adding the algorithm to European Society of Cardiology Risk Factor-weighted Clinical Likelihood scores improved the area under the receiver operating curve measure regarding prediction of major adverse cardiovascular events from 0.62 to 0.75 (p < 0.001) and death/myocardial infarction from 0.6 to 0.71 (p < 0.001), Cleerly said.
