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

BACKGROUND: Artificial intelligence (AI), such as machine learning (ML), shows great promise for improving clinical decision-making in cardiac diseases by outperforming statistical-based models. However, few AI-based tools have been implemented in cardiology clinics because of the sociotechnical cha...

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Detalles Bibliográficos
Autores principales: Matthiesen, Stina, Diederichsen, Søren Zöga, Hansen, Mikkel Klitzing Hartmann, Villumsen, Christina, Lassen, Mats Christian Højbjerg, Jacobsen, Peter Karl, Risum, Niels, Winkel, Bo Gregers, Philbert, Berit T, Svendsen, Jesper Hastrup, Andersen, Tariq Osman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665383/
https://www.ncbi.nlm.nih.gov/pubmed/34842528
http://dx.doi.org/10.2196/26964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665383/
https://www.ncbi.nlm.nih.gov/pubmed/34842528
http://dx.doi.org/10.2196/26964

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