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 WangPublished 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.