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International evaluation of an artificial intelligence powered electrocardiogram model detecting acute coronary occlusion myocardial infarction

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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Doctor Pasquale Policastro

Sant Andrea Hospital, Rome (Italy)

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)
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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)
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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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Access the full session

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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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novartis Explore sponsored resources