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A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage.

Yihao ChenChenchen QinJianbo ChangYan LyuQinghua ZhangZeju YeZhaojian LiFengxuan TianWenbin MaJunji WeiMing FengJianhua YaoRenzhi Wang
Published in: European radiology (2022)
• This is the first study to use artificial intelligence technology for the prediction of perihematomal edema expansion. • A combined machine learning model, trained on data from radiomics, clinical indicators, and imaging features associated with hematoma expansion, outperformed all other methods.
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