Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging

Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25% of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR). We aimed to use a Machine Learning (ML) Non-Contrast brain CT (NCCT) imaging predictive model to identify FR in patients undergoing MT.