Published on in Vol 8, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26964, first published .
Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study

Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study

Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study

JMIR HumanFactors: Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardia… https://t.co/DADK22vH3b

2:07 PM · Nov 26, 2021

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RT @jmirpub: JMIR HumanFactors: Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmi…

2:07 PM · Nov 26, 2021

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For those of you who think real-world problems of #AIinhealthcare are relevant! Here is our piece that walks one st… https://t.co/5Q1l4Uu1Lz

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RT @MatthiesenStina: For those of you who think real-world problems of #AIinhealthcare are relevant! Here is our piece that walks one step…

9:08 AM · Feb 15, 2022

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