Translational stroke researchHumansIntracranial Arteriovenous MalformationsMachine LearningHemodynamicsFemale
Development and Validation of an Interpretable Hemodynamics-Based Machine Learning Model for Predicting Cerebral Arteriovenous Malformation Rupture.
Chengzhuo Wang, Tzak Sing Lau, Heze Han, Ruinan Li, Zhipeng Li, Qinghui Zhu, Yu Chen, Xiaolin Chen, Registry of Multimodality Treatment for Brain Arteriovenous Malformation in Mainland China (MATCH)
Published: 202510.1007/s12975-025-01393-7
Abstract
Cerebral arteriovenous malformation (AVM) is a cerebrovascular disease associated with a risk of intracranial hemorrhage. Currently, most risk prediction models for AVM rupture are based on demographic characteristics and lesion morphology, while qua…
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