Natural Language Processing Model for Identifying Critical Findings—A Multi-Institutional Study.

Improving detection and follow-up of recommendations made in radiology reports is a critical unmet need. The long and unstructured nature of radiology reports limits the ability of clinicians to assimilate the full report and identify all the pertinent information for prioritizing the critical cases...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 36; no. 1; pp. 105 - 114
Autores principales:	Banerjee, Imon, Davis, Melissa A., Vey, Brianna L., Mazaheri, Sina, Khan, Fiza, Zavaletta, Vaz, Gerard, Roger, Gichoya, Judy Wawira, Patel, Bhavik
Formato:	diagnostic images pictorial research tables/charts Journal Article
Publicado:	Springer Nature Feb2023
Acceso en línea:	Ver este registro en EBSCOhost