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Reducing the burden of inconclusive smart-device single-lead ECG tracings via a novel atificial intelligence algorithm

28 August 2023 (09:42 - 10:00)
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Congress Presentation Part of: The latest in cardiovascular diagnostics supported by artificial intelligence Artificial Intelligence ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Mr Simon Weidlich

University Hospital Basel, Basel (Switzerland)

4 More presentations in this session

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State-of-the-art lecture on artificial intelligence in cardiology
Professor U. Landmesser (Berlin, DE)
Slides Video
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Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations
Doctor L. Pastika (London, GB)
Abstract Slides Video
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Artificial intelligence-derived ECG bio-index as a tool for predicting the prognosis of patients with ST-segment elevation myocardial infarction underwent primary percutaneous coronary intervention
Assistant Professor K. Jeon (Seongnam, KR)
Abstract Slides Video
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Validation of a novel cuffless photoplethysmography-based wristband for measuring blood pressure according to the regulatory standard
Doctor E. Ronner (Delft, NL)
Abstract Slides Video

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The latest in cardiovascular diagnostics supported by artificial intelligence
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The Event

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ESC Congress 2023

28 August 2023 09:42 CET
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