Development of a machine learning model using 12-lead ECG to improve acute dianosis of pulmonary embolism

25 August 2023 (07:30 - 18:30)

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About the speaker

Doctor Miguel Nobre Menezes

Hospital Lisbon North, Lisbon (Portugal)

7 More presentations in this session

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Combining hypothesis-driven ECG indices with machine learning improves ventricular arrhythmic risk prediction in a low-risk population

Doctor J. Ramirez (Zaragoza, ES)

Abstract Slides Video

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Electrocardiographic artificial intelligence model for timely detection of preeclampsia

Doctor O. Akbilgic (Winston-Salem, US)

Abstract Slides Video

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Performance of survival neural networks in predicting 10-year cardiovascular disease risk in UK and Chinese populations

Ms X. LIU (Beijing, CN)

Abstract Slides Video

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The exploratory clinical trial of AI-enabled Holter electrocardiogram for diagnosis of paroxysmal atrial fibrillation from sinus rhythm waveforms

Professor Y. Tamura (Tokyo, JP)

Abstract Slides Video

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Artificial intelligence-assisted examination of cardiac health status through electrocardiogram

Mr D. Sung (Taipei, TW)

Abstract Slides Video

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Allow artificial intelligence to assist with diagnostic heavy lifting

The Event

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ESC Congress 2023

25 August - 28 August 2023

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ESC 365 is supported by

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