This paper is in the following e-collection/theme issue:

Research Letter (45) Generative Language Models Including ChatGPT (414) AI Language Models in Health Care (85) Information Retrieval (316) ENT (Ear, Nose, Throat) (32) Cancer and Clinical Trials (27)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60695, first published .
Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

Authors of this article:

Tony K W Hung1 Author Orcid Image ;   Gilad J Kuperman1 Author Orcid Image ;   Eric J Sherman1 Author Orcid Image ;   Alan L Ho1 Author Orcid Image ;   Chunhua Weng2 Author Orcid Image ;   David G Pfister1 Author Orcid Image ;   Jun J Mao1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics
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Tony Hung Tony Hung @TonyHungMDMBA

Fresh off the press - Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials. #LookUpTrials. https://t.co/K8BJbEiFUD. Teamwork @JunMaoMD @AlanHoMDPhD and coauthors ????

12:45 PM · Oct 16, 2024

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Jun J. Mao Jun J. Mao @JunMaoMD

Kudos to my mentee @TonyHungMDMBA using #AI to improve trial accruals for people with cancer. Working with smart young people helps me prevent cognitive aging :-). https://t.co/xgz1fKpu5Z

2:23 AM · Oct 17, 2024

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