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

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

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

Topic: Cardiac Arrest

Speaker: Doctor R. Roy (London, GB)

Event: ESC Congress 2023

Congress Presentation

About the speaker

Doctor Roman Roy

King's College London, London (United Kingdom of Great Britain & Northern Ireland)

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8 more presentations in this session

Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit

Speaker: Doctor O. Weizman (Boulogne Billancourt, FR)

Utilisation of artificial intelligence to predict early readmission to the cardiac intensive care unit in critically ill patients

Speaker: Doctor T. Thevathasan (Berlin, DE)

Prognostic scores in predicting 90-day mortality in the cardiac intensive care units

Speaker: Mr P. Koutsoumpos (Athens, GR)

The MIRACLE2 risk score is associated with cognitive function, referral burden and discharge outcome

Speaker: Doctor M. Singh (London, GB)

External validation of the M-CARS score for mortality risk in coronary intensive care units

Speaker: Doctor A. Chierice (Ribeirao Preto, BR)

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

Speakers: Doctor R. Roy, Doctor O. Weizman, Doctor T. Thevathasan, Mr P. Koutsoumpos, Doctor M. Singh...

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

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

About the speaker

Doctor Roman Roy

8 more presentations in this session

Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit

Utilisation of artificial intelligence to predict early readmission to the cardiac intensive care unit in critically ill patients

Prognostic scores in predicting 90-day mortality in the cardiac intensive care units

The MIRACLE2 risk score is associated with cognitive function, referral burden and discharge outcome

External validation of the M-CARS score for mortality risk in coronary intensive care units

Access the full session

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

About the event

ESC Congress 2023

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