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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:Eur Radiol
Autors principals: Baltruschat, Ivo, Steinmeister, Leonhard, Nickisch, Hannes, Saalbach, Axel, Grass, Michael, Adam, Gerhard, Knopp, Tobias, Ittrich, Harald
Format: Artigo
Idioma:Inglês
Publicat: Springer Berlin Heidelberg 2020
Matèries:
Imaging Informatics and Artificial Intelligence
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars