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

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

Session: The latest in cardiovascular diagnostics supported by artificial intelligence

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Mr S. Weidlich (Basel, CH)

Event: ESC Congress 2023

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Mr Simon Weidlich

University Hospital Basel, Basel (Switzerland)

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4 more presentations in this session

State-of-the-art lecture on artificial intelligence in cardiology

Speaker: Professor U. Landmesser (Berlin, DE)

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Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations

Speaker: Doctor L. Pastika (London, GB)

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

Speaker: Assistant Professor K. Jeon (Seongnam, KR)

Validation of a novel cuffless photoplethysmography-based wristband for measuring blood pressure according to the regulatory standard

Speaker: Doctor E. Ronner (Delft, NL)

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The latest in cardiovascular diagnostics supported by artificial intelligence

Speakers: Mr S. Weidlich, Professor U. Landmesser, Doctor L. Pastika, Assistant Professor K. Jeon, Doctor E. Ronner

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ESC Congress 2023

25 August - 28 August 2023

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