Accessibility settings

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

Research Letter (12) Consumer & Patient Education and Shared-Decision Making (1248) Innovations and Technology in Cancer Care (662) Patient Education for Cancer (317)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86073, first published .
Doctor discusses herbs & supplements in cancer care with patient, referencing database on screen.

Evaluation of a Retrieval-Augmented Generation–Based Large Language Model for Evidence-Based Herb and Supplement Information in Cancer Care

Evaluation of a Retrieval-Augmented Generation–Based Large Language Model for Evidence-Based Herb and Supplement Information in Cancer Care

Authors of this article:

Yen-Nien Hou1 Author Orcid Image ;   Jyothirmai Gubili1 Author Orcid Image ;   Pulkit Jain2 Author Orcid Image ;   Chun Sing Lam1 Author Orcid Image ;   Avijit Chatterjee2 Author Orcid Image ;   Jun J Mao1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yen-Nien Hou   1 , PharmD ;   Jyothirmai Gubili   1 , MS ;   Pulkit Jain   2 , MS ;   Chun Sing Lam   1 , PhD ;   Avijit Chatterjee   2 , PhD ;   Jun J Mao   1 , MD, MSCE

1 Integrative Medicine and Wellness Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States

2 Digital, Informatics and Technology Solutions (DigITs), Artificial Intelligence & Machine Learning, Memorial Sloan Kettering Cancer Center, New York, NY, United States

Corresponding Author:

  • Jun J Mao, MD, MSCE
  • Integrative Medicine and Wellness Service, Memorial Sloan Kettering Cancer Center
  • 321 E 61st Street, 4th Fl.
  • New York, NY 10065
  • United States
  • Phone: 1 6466088550
  • Email: maoj@mskcc.org