Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

BACKGROUND: Structured reports have been shown to improve communication between radiologists and providers. However, some radiologists are concerned about resultant decreased workflow efficiency. We tested a machine learning-based algorithm designed to convert unstructured computed tomography pulmon...

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Detalles Bibliográficos
Autores principales: Spandorfer, Adam, Branch, Cody, Sharma, Puneet, Sahbaee, Pooyan, Schoepf, U. Joseph, Ravenel, James G., Nance, John W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757071/
https://www.ncbi.nlm.nih.gov/pubmed/31549323
http://dx.doi.org/10.1186/s41747-019-0118-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757071/
https://www.ncbi.nlm.nih.gov/pubmed/31549323
http://dx.doi.org/10.1186/s41747-019-0118-1

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