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Deep learning by vision transformer based assessment of image quality in echocardiography improves prediction of heart failure specific outcome

17 May 2025 (08:00 - 12:45)
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Congress Presentation Part of: Novel risk factors and AI-enhanced prognostic strategies in heart failure Epidemiology, Prognosis, Outcome HFA Premium Access Heart Failure 2025 Heart Failure Association (HFA)

About the speaker

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Ms Aida Romano Martinez

University Medical Centre of the Johannes Gutenberg University, Mainz (Germany)

5 More presentations in this session

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Heart failure prevalence and incidence in Germany: insights in ambulatory drug therapy and comorbidities
Mr D. Jurczyk (Luebeck, DE)
Abstract Slides Video
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Hypochloremia in chronic and acute heart failure scenarios: prevalence and risk factors
Doctor P. Llacer (Madrid, ES)
Abstract Slides Video
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Metformin associated lower risk of dementia among heart failure patients: a population-based retrospective cohort study
Miss A. Matsumoto (HK)
Abstract Slides Video
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Impact of coronavirus disease 19 (COVID-19) pandemic on age differences of heart failure with reduced ejection fraction (HFrEF) admissions and in-hospital outcomes
Doctor A. Ceka (Tirana, AL)
Abstract Slides Video
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Impact of recovery of vital signs after a 6-minute walk test over mortality in right heart failure patients.
Doctor C. Chavez Guzman (Mexico City, MX)
Abstract Slides Video

Access the full session

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Novel risk factors and AI-enhanced prognostic strategies in heart failure

The Event

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Heart Failure 2025

17 May - 20 May 2025
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novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources