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Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England

Hill, Nathan R; Groves, Lara; Dickerson, Carissa; Ochs, Andreas; Pang, Dong; Lawton, Sarah; Hurst, Michael; Pollock, Kevin G; Sugrue, Daniel M; Tsang, Carmen; Arden, Chris; Wyn Davies, David; Celine Martin, Anne; Sandler, Belinda; Gordon, Jason; Farooqui, Usman; Clifton, David; Mallen, Christian; Rogers, Jennifer; John Camm, Alan; Cohen, Alexander T

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England Thumbnail


Authors

Nathan R Hill

Lara Groves

Carissa Dickerson

Andreas Ochs

Dong Pang

Michael Hurst

Kevin G Pollock

Daniel M Sugrue

Carmen Tsang

Chris Arden

David Wyn Davies

Anne Celine Martin

Belinda Sandler

Jason Gordon

Usman Farooqui

David Clifton

Jennifer Rogers

Alan John Camm

Alexander T Cohen



Acceptance Date Mar 23, 2022
Publication Date Mar 23, 2022
Publicly Available Date Mar 29, 2024
Journal European Heart Journal
Print ISSN 0195-668X
Publisher Oxford University Press
Pages S111 - S111
DOI https://doi.org/10.1093/ehjdh/ztac009
Keywords atrial fibrillation, machine learning, risk prediction, primary care, screening
Publisher URL https://academic.oup.com/ehjdh/advance-article/doi/10.1093/ehjdh/ztac009/6553188

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