screening

An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening
Developing an artificial intelligence (AI)-based network to predict paroxysmal AF from a normal sinus rhythm single-lead ECG.
Tove Hygrell, Fredrik Viberg, Erik Dahlberg, Peter Charlton, Katrin Kemp Gudmundsdottir, Jonathan Mant, Josef Lindman Hornlund, Emma Svennberg
Project DOI
An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening
Prioritising ECGs for manual review in atrial fibrillation screening
A summary of our work on prioritising ECGs for manual review in atrial fibrillation screening
Jul 14, 2022 10:30 AM — 12:00 PM Glasgow
Peter Charlton
Project Follow Accompanying Paper
Prioritising ECGs for manual review in atrial fibrillation screening
Prioritising Electrocardiograms for Manual Review to Improve the Efficiency of Atrial Fibrillation Screening
Using a model to prioritise electrocardiograms for review in order to reduce the manual workload of AF screening.
Mary Adeniji, James Brimicombe, Martin Cowie, Andrew Dymond, Hannah Clair Linden, Gregory Y H Lip, Jonathan Mant, Madhumitha Pandiaraja, Kate Williams, Peter Charlton
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