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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

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

About the speaker

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Doctor Patrik Bachtiger

National Heart and Lung Institute Imperial College, London (United Kingdom of Great Britain & Northern Ireland)

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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Leveraging AI and clinical guidelines to identify undiagnosed and under-treated CKD patients for treatment optimisation
Ms A. Veldman (The Hague, NL)
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)
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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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