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A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest

25 August 2023 (07:30 - 18:30)
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Congress Presentation Part of: Artificial intelligence, biomarkers, and scoring systems for prognostication in the intensive cardiac care unit Cardiac Arrest ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Roman Roy

St Bartholomews and Queen Mary University, London (United Kingdom of Great Britain & Northern Ireland)

8 More presentations in this session

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Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit
Doctor O. Weizman (Paris, FR)
Abstract Slides Video
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Utilisation of artificial intelligence to predict early readmission to the cardiac intensive care unit in critically ill patients
Doctor T. Thevathasan (Berlin, DE)
Abstract Slides Video
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Prognostic scores in predicting 90-day mortality in the cardiac intensive care units
Mr P. Koutsoumpos (Athens, GR)
Abstract Slides Video
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The MIRACLE2 risk score is associated with cognitive function, referral burden and discharge outcome
Doctor M. Singh (London, GB)
Abstract Slides Video
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External validation of the M-CARS score for mortality risk in coronary intensive care units
Doctor A. Chierice (Ribeirao Preto, BR)
Abstract Slides Video

Access the full session

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Artificial intelligence, biomarkers, and scoring systems for prognostication in the intensive cardiac care unit

The Event

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ESC Congress 2023

25 August - 28 August 2023

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources