An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation

An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation

Objectives During emergency surgery, patients with acute type A aortic dissection (ATAAD) experience unfavourable outcomes throughout their hospital stay. The combination of total aortic arch replacement (TAR) and frozen elephant trunk (FET) implantation has become a dependable choice for surgical t...

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Bibliographic Details
Main Authors: Shuai Zhang, Lulu Li, Jingyu Wang, Yuan Li, Yongkang Zhou, Yuqing Tao, Cuntao Yu, Xiaogang Sun, Hongwei Guo, Dong Zhao, Yi Chang, Jing Sun, Xiangyang Qian
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Annals of Medicine
Subjects:
Machine learning (ML)
acute type A aortic dissection
mortality
total aortic arch replacement
stent elephant implantation
prediction model
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2025.2540018
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https://www.tandfonline.com/doi/10.1080/07853890.2025.2540018

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