Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction

This paper demonstrates that a combination of both automated imaging (e-ASPECTS and e-CTA) and clinical data provides the most powerful information about patient outcome. The imaging features used in this study are e-ASPECTS, e-CTA collateral score and atrophy, all automated outputs from Brainomix 360 Stroke.