Performance of retrieval-augmented large language models to recommend head and neck cancer clinical trials Research Letter

   

Authors:	Hung, T. K. W.; Kuperman, G. J.; Sherman, E. J.; Ho, A. L.; Weng, C.; Pfister, D. G.; Mao, J. J.
Title:	Performance of retrieval-augmented large language models to recommend head and neck cancer clinical trials
Keywords:	clinical trials as topic; information retrieval; head and neck cancer; head and neck neoplasms; artificial intelligence; therapy; clinical trials; head and neck tumor; decision support; clinical trial (topic); procedures; information storage and retrieval; humans; human; cancer care delivery; ai; large language model; head and neck oncology; chatgpt; gpt-4; llm; lookuptrials; retrieval augmented generation
Journal Title:	Journal of Medical Internet Research
Volume:	26
ISSN:	1438-8871
Publisher:	JMIR Publications, Inc
Date Published:	2024-01-01
Start Page:	e60695
Language:	English
DOI:	10.2196/60695
PUBMED:	39405514
PROVIDER:	scopus
PMCID:	PMC11522650
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206558566&doi=10.2196%2f60695&partnerID=40&md5=71c0ac9cc9f13658f9e1cfbd7a11b4f6
Notes:	The MSK Cancer Center Support Grant (P30 CA008748) is acknowledge in the PDF -- Corresponding authors is MSK author: Tony K. W. Hung -- Source: Scopus

https://synapse.mskcc.org/synapse/works/has_related_data_chk/219880