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Prediction of undiagnosed atrial fibrillation (AF) using a machine learning algorithm: PULsE-AI.

Session: Screening for atrial fibrillation: From risk prediction to detection and diagnosis to clinical outcomes
Topic: Atrial Fibrillation (AF)
Speaker: Doctor A. Cohen (London, GB)
Sponsored by Bristol Myers Squibb and Pfizer
Event: ESC Congress 2021 - The Digital Experience

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About the speaker

Doctor Alexander Thomas Cohen

Guy's and St Thomas' NHS Trust Hospitals, London (United Kingdom of Great Britain & Northern Ireland)
13 presentations
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3 more presentations in this session

Welcome and introduction.

Speaker: Doctor E. Svennberg (Stockholm, SE)

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Advancing innovative wearable technology to detect AF: Fitbit Heart Study.

Speaker: Doctor S. Lubitz (Boston, US)

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Clinical outcomes in screen-detected AF - results from the STROKESTOP-study.

Speaker: Doctor E. Svennberg (Stockholm, SE)

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Screening for atrial fibrillation: From risk prediction to detection and diagnosis to clinical outcomes

Speakers: Doctor A. Cohen, Doctor E. Svennberg, Doctor S. Lubitz, Doctor E. Svennberg
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About the event

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ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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ESC 365 is supported by

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