An AI-ECG algorithm for atrial fibrillation risk: steps towards clinical implementation

Frank J. Wolters

doi:10.1016/S0140-6736(20)31062-X

An AI-ECG algorithm for atrial fibrillation risk: steps towards clinical implementation

Frank J. Wolters

Research output: Contribution to journal › Comment/Letter to the editor › Academic

3 Citations (Scopus)

73 Downloads (Pure)

Original language	English
Pages (from-to)	235-236
Number of pages	2
Journal	The Lancet
Volume	396
Issue number	10246
DOIs	https://doi.org/10.1016/S0140-6736(20)31062-X
Publication status	Published - 25 Jul 2020

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10.1016/S0140-6736(20)31062-X

PIIS014067362031062XFinal published version, 108 KB

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title = "An AI-ECG algorithm for atrial fibrillation risk: steps towards clinical implementation",

author = "Wolters, \{Frank J.\}",

year = "2020",

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T1 - An AI-ECG algorithm for atrial fibrillation risk

T2 - steps towards clinical implementation

AU - Wolters, Frank J.

PY - 2020/7/25

Y1 - 2020/7/25

UR - https://www.scopus.com/pages/publications/85088216181

U2 - 10.1016/S0140-6736(20)31062-X

DO - 10.1016/S0140-6736(20)31062-X

M3 - Comment/Letter to the editor

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VL - 396

SP - 235

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JO - The Lancet

JF - The Lancet

IS - 10246

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An AI-ECG algorithm for atrial fibrillation risk: steps towards clinical implementation

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