Harnessing artificial intelligence, machine learning and novel approaches to tackle mortality in acute type A aortic dissection
Author:
Affiliation:
1. Islamic International Medical College , Rawalpindi, Pakistan
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/ejcts/advance-article-pdf/doi/10.1093/ejcts/ezae131/57136562/ezae131.pdf
Reference5 articles.
1. Acute aortic dissection (AAD) - a lethal disease: the epidemiology, pathophysiology and natural history;Booth;Br J Cardiol,2023 7
2. Mortality after non-surgically treated acute type A aortic dissection is higher than previously reported;Teurneau-Hermansson;Eur J Cardiothorac Surg,2024
3. Application of Logistic Regression and Artificial Intelligence in the Risk Prediction of Acute Aortic Dissection Rupture;Lin;J Clin Med,2022
4. A predictive model for postoperative adverse outcomes following surgical treatment of acute type A aortic dissection based on machine learning;Xie;J Clin Hypertens (Greenwich),2024
5. Repair of ATAAD with a 3D-printing assisted pre-windowed coated stent: a case report;Hu;J Card Surg,2022
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