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Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision.

Jang Hyun BaekByung Moon KimDong Joon KimJi Hoe HeoHyo Suk NamYoung Dae KimMyung Ho RhoPil-Wook ChungYu Sam WonYeongu Chung
Published in: Journal of neurointerventional surgery (2022)
An ML-PM could accurately determine an occlusion pathomechanism with common preprocedural findings. A decision flowchart consisting of the four most influential findings was clinically applicable and superior to single common preprocedural findings for determining an occlusion pathomechanism.
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