Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence

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Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence

Session: Atrial Fibrillation - Round 6 - Clinical 2

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Associate Professor K. Lee (Gwangju, KR)

Event: EHRA 2023

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Associate Professor Ki Hong Lee

Chonnam National University Hospital, Gwangju (Korea (Republic of))

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5 more presentations in this session

Identification of a real-world clinical model associated with atrial fibrillation in a large french primary care database

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The association between adherence to a systematic atrial fibrillation screening program and clinical outcomes: a subanalysis from the STROKESTOP study

Speaker: Miss R. Van Der Velden (Maastricht, NL)

Accuracy of continuous photoplethysmography-based heart rate assessment during atrial fibrillation.

Speaker: Ms A. Hermans (Maastricht, NL)

Automated atrial fibrillation detection with a smartwatch and smart-ring in individuals with cardiovascular disease

Speaker: Doctor A. Briosa E Gala (Oxford, GB)

Electrocardiographic markers of subclinical atrial fibrillation detected by implantable loop recorder

Speaker: Doctor L. Xing (Copenhagen, DK)

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Atrial Fibrillation - Round 6 - Clinical 2

Speakers: Associate Professor K. Lee, Doctor P. Sabouret, Miss R. Van Der Velden, Ms A. Hermans, Doctor A. Briosa E Gala...

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EHRA 2023

16 April - 18 April 2023

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