Testing the Appropriateness of Diabetes Prevention and Care Information Given by the Online Conversational AI ChatGPT

Abstract

Commentary| June 15 2023 Testing the Appropriateness of Diabetes Prevention and Care Information Given by the Online Conversational AI ChatGPT Jison Hong 0000-0002-7192-5647 ; Jison Hong 1Department of Medicine, Division of Immunology & Rheumatology, Stanford University, Stanford CA Corresponding author: Jison Hong, jison@stanford.edu Search for other works by this author on: This Site PubMed Google Scholar Nicholas Takayuki Kikuta; Nicholas Takayuki Kikuta 1Department of Medicine, Division of Immunology & Rheumatology, Stanford University, Stanford CA Search for other works by this author on: This Site PubMed Google Scholar Anna Simos; Anna Simos 2Stanford Health Care, Stanford, CA Search for other works by this author on: This Site PubMed Google Scholar Sandra Tsai; Sandra Tsai 3Department of Medicine, Division of Primary Care and Population Health, Stanford University, Stanford, CA Search for other works by this author on: This Site PubMed Google Scholar Bryant Lin; Bryant Lin 3Department of Medicine, Division of Primary Care and Population Health, Stanford University, Stanford, CA Search for other works by this author on: This Site PubMed Google Scholar Fatima Rodriguez; Fatima Rodriguez 4Department of Medicine, Division of Cardiovascular Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA Search for other works by this author on: This Site PubMed Google Scholar Latha Palaniappan 0000-0002-1245-665X Latha Palaniappan 5Department of Medicine, Division of Cardiovascular Medicine, Epidemiology and Population Health, Stanford University, Stanford, CA Search for other works by this author on: This Site PubMed Google Scholar Corresponding author: Jison Hong, jison@stanford.edu Clin Diabetes 2023;41(4):549–552 https://doi.org/10.2337/cd23-0026 PubMed: 37849522 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Cite Icon Cite Get Permissions Citation Jison Hong, Nicholas Takayuki Kikuta, Anna Simos, Sandra Tsai, Bryant Lin, Fatima Rodriguez, Latha Palaniappan; Testing the Appropriateness of Diabetes Prevention and Care Information Given by the Online Conversational AI ChatGPT. Clin Diabetes 1 October 2023; 41 (4): 549–552. https://doi.org/10.2337/cd23-0026 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsClinical Diabetes Search Advanced Search This article contains supplementary material online at https://doi.org/10.2337/figshare.23278418. This article contains supplementary material online at https://doi.org/10.2337/figshare.23278418. © 2023 by the American Diabetes Association2023Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license. © 2023 by the American Diabetes Association2023Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license. You do not currently have access to this content.

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