Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction

Jabal M, Joly O, Kallmes D, Harston G, Rabinstein A, Huynh T, et al.

Frontiers in Neurology

May 19, 2022

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. 

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