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

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

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

Topic: Cardiac Care Unit (CCU), Intensive, and Critical Cardiovascular Care

Speaker: Doctor T. Thevathasan (Berlin, DE)

Event: ESC Congress 2023

Congress Presentation

About the speaker

Doctor Tharusan Thevathasan

Charite University Hospital, Berlin (Germany)

1 presentation

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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)

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)

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

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

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

About the speaker

Doctor Tharusan Thevathasan

8 more presentations in this session

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

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

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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