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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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Baltruschat, Ivo, Steinmeister, Leonhard, Nickisch, Hannes, Saalbach, Axel, Grass, Michael, Adam, Gerhard, Knopp, Tobias, Ittrich, Harald
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2020
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha: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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