Coronary Artery Brightness on Echocardiography as a Novel Marker in Kawasaki Disease　― Machine Learning-Based Cluster Analysis ―

Quantitative CAB analysis combined with unsupervised ML effectively stratified KD patients into subgroups with distinct coronary and biomarker profiles. This method may serve as a novel non-invasive tool to evaluate disease severity and predict IVIG resistance in acute-phase KD.