Open Access

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

Congress Presentation

About the speaker

Doctor Emma Svennberg

Karolinska Institute, Stockholm (Sweden)
18 presentations

3 more presentations in this session

Welcome and introduction.

Speaker: Doctor E. Svennberg (Stockholm, SE)


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

Speaker: Doctor A. Cohen (London, GB)


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

Speaker: Doctor S. Lubitz (Boston, US)


Access the full session

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

Speakers: Doctor E. Svennberg, Doctor E. Svennberg, Doctor A. Cohen, Doctor S. Lubitz

About the event


ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

Sessions Presentations

Related content

EHRA Premium Access

Implementing trials in clinical practice - discussion.

3 April 2022

EHRA Premium Access

DECAAF II in clinical practice.

3 April 2022

EHRA Premium Access

Detection of endo-epicardial atrial low-voltage areas using unipolar and omnipolar voltage mapping

3 April 2022

ESC 365 is supported by

logo Novo Nordisk