Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing

PURPOSE: During the COVID-19 pandemic, emergency department (ED) volumes have fluctuated. We hypothesized that natural language processing (NLP) models could quantify changes in detection of acute abdominal pathology (acute appendicitis (AA), acute diverticulitis (AD), or bowel obstruction (BO)) on...

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Vydáno v:Am J Emerg Med
Hlavní autoři: Li, Matthew D., Wood, Peter A., Alkasab, Tarik K., Lev, Michael H., Kalpathy-Cramer, Jayashree, Succi, Marc D.
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier Inc. 2021
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8154187/
https://ncbi.nlm.nih.gov/pubmed/34062318
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajem.2021.05.057
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