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

Applications of AI (272) Applications of AI (272) Responsible Health AI (47) Health and Risk Communication (72) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (89) Artificial Intelligence (2064)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78436, first published .
Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation

Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation

Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation

Authors of this article:

Mingxin Liu1 Author Orcid Image ;   Tsuyoshi Okuhara2 Author Orcid Image ;   Ritsuko Shirabe3 Author Orcid Image ;   Yuriko Nishiie1 Author Orcid Image ;   Yinghan Xu4 Author Orcid Image ;   Hiroko Okada2 Author Orcid Image ;   Takahiro Kiuchi2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Mingxin Liu   1 , MA ;   Tsuyoshi Okuhara   2 , PhD ;   Ritsuko Shirabe   3 , PhD ;   Yuriko Nishiie   1 , MPH ;   Yinghan Xu   4 , MA ;   Hiroko Okada   2 , PhD ;   Takahiro Kiuchi   2 , PhD

1 Department of Health Communication, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

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

3 University Hospital Medical Information Network (UMIN) Center, University of Tokyo Hospital, Tokyo, Japan

4 Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan

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