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

Patient Education for Cancer (227) Generative Language Models Including ChatGPT (707) Chatbots and Conversational Agents (740) Machine Learning (2074) Formative Evaluation of Digital Health Interventions (3227) Information Seeking, Information Needs (561) Quality/Credibility of eHealth Information and Trust Issues (654) Innovations and Technology in Cancer Care (531)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70176, first published .
Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study

Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study

Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study

Authors of this article:

Sota Nishisako1 Author Orcid Image ;   Takahiro Higashi1, 2 Author Orcid Image ;   Fumihiko Wakao3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Sota Nishisako   1 , MSc ;   Takahiro Higashi   1, 2 , MD, PhD ;   Fumihiko Wakao   3 , MD

1 Institute for Cancer Control, National Cancer Center, Tokyo, Japan

2 Department of Public Health and Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

3 Headquarter for Cancer Information Services, National Cancer Center, Tokyo, Japan

Corresponding Author:

  • Sota Nishisako, MSc
  • Institute for Cancer Control
  • National Cancer Center
  • 5-1-1 Tsukiji, Chuo-ku
  • Tokyo 104-0045
  • Japan
  • Phone: 81 3 3547 5201
  • Fax: 81 3 3547 8577
  • Email: sotanishisako@gmail.com