Research progress of artificial intelligence in predicting hemorrhagic transformation after acute ischemic stroke
ZHANG Yue
XIE Gang
LI Kang
Abstract：Acute ischemic stroke(AIS)associated with a high mortality and disability rate.Hemorrhagic transformation(HT)is a serious complication of AIS,closely influencing clinical treatment decisions and patient prognosis.Artificial intelligence(AI)technology emerges as a novel method is capable of early and accurate prediction of HT.In this approach,radiomics can deeply mine and extract features closely related to HT from various neuroimaging data,such as CT,MRI,etc.Machine learning and deep learning enable the screening and correlation analysis of HT prediction information,facilitating the construction and optimization of prediction models,ultimately improving the accuracy of HT prediction.The research progress of radiomics,machine learning,and deep learning in predicting hemorrhagic transformation after acute ischemic stroke is reviewed.
Keywords：Acute ischemic strokeHemorrhagic transformationArtificial intelligenceDeep learningPrediction
Publication Date：2024-03-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 160-164 )