Application of artificial intelligence in assessing the prognosis of patients with aortic dissection after receiving endovascular repair
10.3969/j.issn.1008-794X.2025.10.001
- VernacularTitle:人工智能在主动脉夹层腔内修复术预后评估中的应用
- Author:
Yifei MIN
1
;
Yonglin QIN
Author Information
1. 210009 江苏南京 东南大学医学院;东南大学附属中大医院介入与血管外科
- Keywords:
aortic dissection;
thoracic endovascular aortic repair;
prognosis;
artificial intelligence
- From:
Journal of Interventional Radiology
2025;34(10):1039-1042
- CountryChina
- Language:Chinese
-
Abstract:
At present,thoracic endovascular aortic repair(TEVAR)is the preferred treatment for acute complicated Stanford type B aortic dissection.The long-term risk assessment of patients after receiving TEVAR is directly related to the treatment decisions and long-term benefits.Traditional methods used for assessment of prognosis have certain limitations in dealing with the complex data and individualized differences,while artificial intelligence(AI)technology such as machine learning,based on its ability of analyzing multidimensional data,has great potential in predicting the postoperative complications,re-intervention risk,and long-term survival rate.This article aims to make a brief introduction about the development history from traditional prediction model to AI-assisted prediction model,and the clinical research and application of AI in predicting the prognosis of aortic dissection.
