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State of the Art - Application of artificial intelligence in assessment of patients with acute coronary syndrome

2 September 2019 (08:30 - 08:48)
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Congress Presentation Part of: Risk assessment in acute coronary syndromes CORONARY ARTERY DISEASE, ACUTE CORONARY SYNDROMES, ACUTE CARDIAC CARE ESC Premium Access ESC Congress 2019

About the speaker

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Professor Mamas Mamas

Keele University, Keele (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

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Synergy of artificial intelligence and single lead ekg to detect and localize STEMI
Doctor D. Vieira (Miami, US)
Abstract Slides Video
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Identifying low-risk patients eligible for early discharge after ST-segment elevation myocardial infarction
Doctor P. Azevedo (Faro, PT)
Abstract Slides Video
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The prognostic significance of grade of ischemia in patients with STEMI: a substudy of the randomized trial of primary PCI with or without routine manual thrombectomy (TOTAL trial)
Doctor J. Leivo (Tampere, FI)
Abstract Slides Video
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Clinical risk scoring in acute coronary syndromes: mandatory, nice to have, or futile?
Mr A. Jobs (Leipzig, DE)
Slides Video

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Risk assessment in acute coronary syndromes

The Event

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ESC Congress 2019

2 September 2019 08:30 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources