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Leveraging AI and clinical guidelines to identify undiagnosed and under-treated CKD patients for treatment optimisation

31 August 2025 (08:15 - 09:00)
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Congress Presentation Part of: Risk stratification models: leveraging digital health for better outcomes Artificial Intelligence ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Ms Anouk Veldman

The Hague (Netherlands (The))

7 More presentations in this session

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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)
Abstract Slides Video
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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)
Abstract Slides
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Prediction of atrial fibrillation from the electrocardiogram in the community using deep learning
Doctor L. Brant (Belo Horizonte, BR)
Abstract Slides Video
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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)
Abstract Slides Video
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Efficiency of an artificial intelligence powered electrocardiogram model for early detection of occlusion myocardial infarction in acute coronary syndrome: a multicenter cohort study
Doctor C. Militello (Rome, IT)
Abstract Slides Video

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Risk stratification models: leveraging digital health for better outcomes

The Event

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ESC Congress 2025

31 August 2025 08:15 CET
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novartis Explore sponsored resources