Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation

OBJECTIVE: The aim is to evaluate whether smart worklist prioritization by artificial intelligence (AI) can optimize the radiology workflow and reduce report turnaround times (RTATs) for critical findings in chest radiographs (CXRs). Furthermore, we investigate a method to counteract the effect of f...

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Bibliografiske detaljer
Udgivet i:Eur Radiol
Main Authors: Baltruschat, Ivo, Steinmeister, Leonhard, Nickisch, Hannes, Saalbach, Axel, Grass, Michael, Adam, Gerhard, Knopp, Tobias, Ittrich, Harald
Format: Artigo
Sprog:Inglês
Udgivet: Springer Berlin Heidelberg 2020
Fag:
Imaging Informatics and Artificial Intelligence
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8128725/
https://ncbi.nlm.nih.gov/pubmed/33219850
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07480-7
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