ESC 365 - Machine learning in AF detection - why it matters: why should clinicians understand machine learning technology

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Machine learning in AF detection - why it matters: why should clinicians understand machine learning technology

Session: Novel tools for AF detection

Topic: Diagnostic Methods

Speaker: Professor N. de Groot (Rotterdam, NL)

Event: EHRA 2023

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About the speaker

Professor Natasja de Groot

Erasmus University Medical Centre, Rotterdam (Netherlands (The))

9 presentations

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5 more presentations in this session

Machine learning in AF detection - the problem/the issue: how can ML be of use in predicting incidental atrial fibrillation

Speaker: Doctor P. Noseworthy (Rochester, US)

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Machine learning in AF detection: in practice

Speaker: Professor R. Garcia (Poitiers, FR)

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PPG can be used to diagnose AF: protagonist

Speaker: Doctor N. Pluymaekers (Maastricht, NL)

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PPG cannot be used to diagnose AF: antagonist

Speaker: Assistant Professor J. Eckstein (Basel, CH)

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Novel tools for AF detection - discussion

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Access the full session

Novel tools for AF detection

Speakers: Professor N. de Groot, Doctor P. Noseworthy, Professor R. Garcia, Doctor N. Pluymaekers, Assistant Professor J. Eckstein

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About the event

EHRA 2023

16 April - 18 April 2023

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