Predicting Incomplete Occlusion Following Endovascular Treatment of Intracranial Aneurysms: Development and Validation of a Multidimensional Machine Learning Model.
RATIONALE AND OBJECTIVES Incomplete occlusion after endovascular treatment (EVT) of intracranial aneurysms (IAs) increases the risks of re-rupture and retreatment. We aimed to develop and validate an interpretable multimodal machine learning model integrating quantitative digital subtraction angiography (QDSA) and radi...