ESC 365 - Heart Failure detection using Artificial Intelligence for diagnostic decision support applied to echocardiography

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Heart Failure detection using Artificial Intelligence for diagnostic decision support applied to echocardiography - HFDetect-AI

Session: Registries, observational, and other studies on artificial intelligence

Topic: Imaging

Speaker: Professor G. Strange (Sydney, AU)

Event: ESC Congress 2024

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About the speaker

Professor Geoffrey Strange

The University of Notre Dame, Sydney (Australia)

6 presentations

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Artificial intelligence for analysis of ambulatory electrocardiography

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MitrAI score: machine learning models to predict mortality at 12, 24, 36 and 48 months in patients with primary and secondary mitral regurgitation treated by transcatheter edge-to-edge repair.

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Machine-learning based scoring system to predict cardiogenic shock in acute coronary syndrome

Speaker: Doctor A. Bohm (Bratislava, SK)

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Machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction

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Registries, observational, and other studies on artificial intelligence

Speakers: Professor G. Strange, Doctor F. Wenzl, Doctor L. Johnson, Doctor L. Biasco, Doctor A. Bohm...

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Video

About the event

ESC Congress 2024

30 August - 2 September 2024

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