Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool

PURPOSE: To evaluate the diagnostic performance of a natural language processing (NLP) model in detecting incidental lung nodules (ILNs) in unstructured chest computed tomography (CT) reports. METHODS: All unstructured consecutive reports of chest CT scans performed at a tertiary hospital between 20...

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Detalles Bibliográficos
Autores principales: Basilio, Rodrigo, Carvalho, Alysson Roncally, Rodrigues, Rosana, Conrado, Marco, Accorsi, Sephania, Forghani, Reza, Machuca, Tiago, Zanon, Matheus, Altmayer, Stephan, Hochhegger, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2023
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581645/
https://www.ncbi.nlm.nih.gov/pubmed/37769221
http://dx.doi.org/10.1200/GO.23.00191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581645/
https://www.ncbi.nlm.nih.gov/pubmed/37769221
http://dx.doi.org/10.1200/GO.23.00191

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