Artificial intelligence model for prediction of cardiogenic shock in patients with acute coronary syndrome

Back

ACVC Premium Access

Artificial intelligence model for prediction of cardiogenic shock in patients with acute coronary syndrome

Session: ACS - whats new?

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor A. Bohm (Bratislava, SK)

Event: ESC Acute CardioVascular Care 2022

Congress Presentation

Add to my library

About the speaker

Doctor Allan Bohm

Premedix & Seerlinq, Bratislava (Slovakia)

11 presentations

2 followers

5 more presentations in this session

Atrial fibrillation and acute coronary syndromes in nonagenarians

Speaker: Doctor J. Echarte Morales (Leon, ES)

Cardiac troponins and growth-differentiation factor-15 (GDF-15) for prediction of angiographic coronary artery disease in chest pain patients without myocardial injury

Speaker: Doctor O. Steiro (Bergen, NO)

Outcome of ST-segment elevation myocardial infarction (STEMI) patients with significant non-infarct related artery (IRA) lesions

Speaker: Doctor N. GRECH (Msida, MT)

Long-term prognostic impact of new-onset atrial fibrillation in patients with preserved and mildly reduced ejection fraction following myocardial infarction

Speaker: Assistant Professor L. Savic (Belgrade, RS)

Ultra-low contrast PCI vs conventional PCI in patients of ACS with an increased pre-procedural risk of CI-AKI (CONSaVE-AKI study)

Speaker: Doctor A. Shrivastava (New Delhi, IN)

Access the full session

ACS - whats new?

Speakers: Doctor A. Bohm, Doctor J. Echarte Morales, Doctor O. Steiro, Doctor N. GRECH, Assistant Professor L. Savic...

Access

About the event

ESC Acute CardioVascular Care 2022

18 March - 19 March 2022

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources