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Electrocardiographic age as a predictor of cardiovascular events in Brazilian adults: from the ELSA-Brasil study

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Risk stratification models: leveraging digital health for better outcomes Deep Learning ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Mrs Ana Luiza Ciminelli

Hospital das Clinicas da UFMG, Belo Horizonte (Brazil)

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Personalized approach to cardiovascular risk stratification: a randomized controlled trial evaluating the effectiveness of an AI-developed diet versus a standard mediterranean diet
Mr B. Rozibaev (Tashkent, UZ)
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Comparing machine learning models with established risk scores in predicting bleeding and ischaemic stroke in patients with atrial fibrillation undergoing transcatheter aortic valve implantation
Doctor G. Dangas (New York, US)
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Prediction of atrial fibrillation from the electrocardiogram in the community using deep learning
Doctor L. Brant (Belo Horizonte, BR)
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Leveraging AI and clinical guidelines to identify undiagnosed and under-treated CKD patients for treatment optimisation
Ms A. Veldman (The Hague, NL)
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Quick and easy multi-pathology cardiovascular disease detection with an artificial intelligence-enabled stethoscope: multi-centre prospective validation study in secondary care
Doctor P. Bachtiger (London, GB)
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Risk stratification models: leveraging digital health for better outcomes

The Event

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ESC Congress 2025

29 August - 1 September 2025
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