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

Journals

  1. Sezgin E, Jackson D, Kocaballi A, Bibart M, Zupanec S, Landier W, Audino A, Ranalli M, Skeens M. Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation. Cancer Medicine 2025;14(1) View
  2. Zarfati M, Soffer S, Nadkarni G, Klang E. Retrieval-Augmented Generation: Advancing personalized care and research in oncology. European Journal of Cancer 2025;220:115341 View