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

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About the speaker

Doctor Tharusan Thevathasan

Charite University Hospital, Berlin (Germany)
3 presentations
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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)

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

Speaker: Doctor R. Roy (London, GB)

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

Speaker: Mr P. Koutsoumpos (Athens, GR)

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

Speaker: Doctor M. Singh (London, GB)

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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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Access the full session

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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ESC Congress 2023

25 August - 28 August 2023

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