Back

Decoding risk: a machine learning model for predicting major adverse cardiovascular events post-acute type A aortic dissection surger

31 August 2025 (08:45 - 08:55)
Organised by: Logo
Congress Presentation Part of: Innovations in aortic dissection management Aortic Dissection, Acute Intramural Haematoma ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Hao Zhang

Beijing Anzhen Hospital, Beijing (China)

4 More presentations in this session

Presentation thumbnail
Impact of different hypothermic circulatory arrest temperature strategies on postoperative continuous renal replacement therapy following extensive aortic arch repair for type A aortic dissection
Doctor C. Zhou (Beijing, CN)
Abstract Slides Video
Presentation thumbnail
Type B dissection in marfan syndrome is associated with prior elective aortic root surgery and lack of betablocker treatment in 6700+ years of follow-up: a study by european reference network VASCERN
Mr D. Bosshardt (Amsterdam, NL)
Abstract Slides Video
Presentation thumbnail
Women with Turner syndrome have twenty times higher risk of having an aortic dissection compared to the general population
Miss A. Tanindi (Gothenburg, SE)
Abstract Slides Video
Presentation thumbnail
Is an endovascular treatment for patients with a typa A aortic dissection anatomically feasible?
Doctor T. Berger (Bad Krozingen, DE)
Abstract Slides Video

Access the full session

Session thumbnail
Innovations in aortic dissection management
Video

The Event

Event poster

ESC Congress 2025

31 August 2025 08:45 CET
You may be interested in
thumbnail
Congress Session
Innovations in aortic dissection management
thumbnail
Congress Presentation
An artificial intelligence-enabled electrocardiogram model outperforms the revised cardiac risk index score for predicting major adverse cardiovascular events in patients undergoing noncardiac surgery
thumbnail
Congress Session
Artificial intelligence in acute coronary syndromes

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources