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

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

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

Topic: Cardiac Arrest

Speaker: Doctor M. Singh (London, GB)

Event: ESC Congress 2023

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About the speaker

Doctor Mita Singh

King's College Hospital NHS Foundation Trust, 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)

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

Speaker: Doctor R. Roy (London, GB)

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

Speaker: Mr P. Koutsoumpos (Athens, GR)

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

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ESC Congress 2023

25 August - 28 August 2023

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