Using ultrasound radiomics to forecast adverse cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention

Ultrasound radiomics can be a reliable tool to predict the incidence of MACE after PCI in patients with ACS and provides quantifiable data for personalized clinical treatment.

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Publication Details

Journal
Echocardiography
Published
2024-08-01
DOI
https://doi.org/10.1111/echo.15907
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Using ultrasound radiomics to forecast adverse cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention

Aling Yao, Biaohu Liu, You Yang, Haiyun Fan et al.
Echocardiography
Radiomics and Machine Learning in Medical Imaging
article

Using ultrasound radiomics to forecast adverse cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention

Aling Yao, Biaohu Liu, You Yang, Haiyun Fan, Yuxin Zhong, Shutian Wu
article en

Abstract

Ultrasound radiomics can be a reliable tool to predict the incidence of MACE after PCI in patients with ACS and provides quantifiable data for personalized clinical treatment.

EchocardiographyVol. 41(8)
Soochow University (CN), First Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Wannan Medical College (CN)
Good health and well-being
Openalex Percentile: Top 78%
Radiomics and Machine Learning in Medical Imaging
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