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Mortality accuracy of artificial intelligence and machine learning models in patients with heart failure: a systematic review

9 May 2026 (08:00 - 12:45)
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Congress Presentation Part of: Risk stratification in heart failure Epidemiology, Prognosis, Outcome Delegates Premium Access Heart Failure 2026 Heart Failure Association (HFA)

About the speaker

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Doctor Celemi Mairim Vigil Lopez

Ensenada School of Health Sciences, Ensenada (Mexico)

6 More presentations in this session

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The obesity paradox in heart failure: insights from a nationwide multi-ethnic Asian cohort
Doctor S. Jauhari (Singapore, SG)
Abstract Slides Video
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Synthetic data as a tool to quantify heart failure hospitalization burden
Doctor K. Haichin (Montreal, CA)
Abstract Slides Video
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Endothelial Activation and Stress Index (EASIX) Predicts In-Hospital Mortality in Acute Decompensated Heart Failure with Reduced Ejection Fraction
Doctor B. Cuvalcioglu (Ankara, TR)
Abstract Slides Video
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Prognostic value of a non-invasive haemodynamic congestion index and traffic-light risk score for 90-day non-elective hospitalisation following right-heart catheterisation
Doctor A. Sauer (Kansas City, US)
Abstract Slides Video
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Plasma neurofilament light is associated with cognitive impairment in patients hospitalized for heart failure
Doctor A. Yaghoubi (Malmoe, SE)
Abstract Slides Video

Access the full session

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Risk stratification in heart failure

The Event

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Heart Failure 2026

9 May - 12 May 2026
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ESC 365 is supported by

novartis Explore sponsored resources