ESC Professional Premium Access

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

Congress Presentation

About the speaker

Doctor Tharusan Thevathasan

Charite University Hospital, Berlin (Germany)
2 presentations
1 follower

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)

Thumbnail

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

Speaker: Doctor R. Roy (London, GB)

Thumbnail

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

Speaker: Mr P. Koutsoumpos (Athens, GR)

Thumbnail

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

Speaker: Doctor M. Singh (London, GB)

Thumbnail

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

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

Thumbnail

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...
Thumbnail

About the event

Image

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations