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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Detalles Bibliográficos
Autores principales: Baltruschat, Ivo, Steinmeister, Leonhard, Nickisch, Hannes, Saalbach, Axel, Grass, Michael, Adam, Gerhard, Knopp, Tobias, Ittrich, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128725/
https://www.ncbi.nlm.nih.gov/pubmed/33219850
http://dx.doi.org/10.1007/s00330-020-07480-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128725/
https://www.ncbi.nlm.nih.gov/pubmed/33219850
http://dx.doi.org/10.1007/s00330-020-07480-7

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