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...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 36; no. 1; pp. 105 - 114
Main Authors:	Banerjee, Imon, Davis, Melissa A., Vey, Brianna L., Mazaheri, Sina, Khan, Fiza, Zavaletta, Vaz, Gerard, Roger, Gichoya, Judy Wawira, Patel, Bhavik
Format:	diagnostic images pictorial research tables/charts Journal Article
Published:	Springer Nature Feb2023
Online Access:	View this record in EBSCOhost