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

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Doctor Allan Bohm

Premedix Academy, Bratislava (Slovakia)
4 presentations
1 follower

5 more presentations in this session

Atrial fibrillation and acute coronary syndromes in nonagenarians

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

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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)

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

Speaker: Doctor N. GRECH (Msida, MT)

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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)

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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)

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Access the full session

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

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ESC Acute CardioVascular Care 2022

18 March - 19 March 2022

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