Do General Purpose Large Language Models Outperform Domain-Specific NLP Methods for Radiology Report Label Extraction?

Savage, Cody H.; Park, Hyoungsun; Kwak, Kijung; Rothenberg, Steven; Doo, Florence X.; Parekh, Vishwa S.; Yi, Paul

dc.contributor.author	Savage, Cody H.
dc.contributor.author	Park, Hyoungsun
dc.contributor.author	Kwak, Kijung
dc.contributor.author	Rothenberg, Steven
dc.contributor.author	Doo, Florence X.
dc.contributor.author	Parekh, Vishwa S.
dc.contributor.author	Yi, Paul
dc.date.accessioned	2023-10-20T12:39:03Z
dc.date.available	2023-10-20T12:39:03Z
dc.date.issued	2023-10-01
dc.identifier.uri	http://hdl.handle.net/10713/20960
dc.description	Conference on Machine Intelligence in Medical Imaging, October 1, 2023	en_US
dc.language.iso	en_US	en_US
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	large language model	en_US
dc.subject.lcsh	GPT-3 (Artificial intelligence)	en_US
dc.subject.mesh	Natural Language Processing	en_US
dc.subject.mesh	Radiology	en_US
dc.title	Do General Purpose Large Language Models Outperform Domain-Specific NLP Methods for Radiology Report Label Extraction?	en_US
dc.type	Poster/Presentation	en_US
refterms.dateFOA	2023-10-20T12:39:03Z