ESC 365 - Left atrial function for predicting atrial fibrillation: a machine learning approach

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Left atrial function for predicting atrial fibrillation: a machine learning approach

Session: Prediction of incident atrial fibrillation: from biomarkers to artificial intelligence

Topic: Prevalence and Incidence of Atrial Fibrillation

Speaker: Doctor G. Masini (Pisa, IT)

Event: ESC Congress 2024

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Doctor Gabriele Masini

University of Pisa, Pisa (Italy)

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6 more presentations in this session

Impact of changes in proteinuria on the risk of atrial fibrillation in patients with diabetes mellitus: a nationwide population-based study

Speaker: Doctor H. Rha (Seoul, KR)

Proteomic and genomic evaluation of plasma protein biomarkers for atrial fibrillation

Speaker: Mr O. Vad (Copenhagen, DK)

Circulating ketone bodies, genetic predisposition, and incident atrial fibrillation

Speaker: Ms Y. Sun (CN)

Polygenic risk score for prediction of atrial fibrillation according to presence of the hypertrophic cardiomyopathy

Speaker: Doctor B. Joung (Seoul, KR)

Proteinuria and the risk of incident atrial fibrillation according to diabetes stage in patients with diabetes: a nationwide population-based cohort study

Speaker: Mr M. Yeo (Seoul, KR)

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Prediction of incident atrial fibrillation: from biomarkers to artificial intelligence

Speakers: Doctor G. Masini, Doctor H. Rha, Mr O. Vad, Ms Y. Sun, Doctor B. Joung...

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ESC Congress 2024

30 August - 2 September 2024

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