Rupture risk assessment in cerebral arteriovenous malformations: an ensemble model using hemodynamic and morphological features

Quantitative hemodynamic and morphological features extracted from DSA data serve as potential indicators for assessing the rupture risk of AVM. The ensemble model effectively integrated multidimensional features, demonstrating favorable performance in predicting subsequent rupture of AVM.