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Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369721/ https://www.ncbi.nlm.nih.gov/pubmed/37495984 http://dx.doi.org/10.1186/s12967-023-04354-6 |
| _version_ | 1785077819009662976 |
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| author | Huang, Chunling Chen, Lijun Huang, Huibin Cai, Qingyan Lin, Ruhai Wu, Xiaohong Zhuang, Yong Jiang, Zhengrong |
| author_facet | Huang, Chunling Chen, Lijun Huang, Huibin Cai, Qingyan Lin, Ruhai Wu, Xiaohong Zhuang, Yong Jiang, Zhengrong |
| author_sort | Huang, Chunling |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10369721 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-103697212023-07-27 Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions Huang, Chunling Chen, Lijun Huang, Huibin Cai, Qingyan Lin, Ruhai Wu, Xiaohong Zhuang, Yong Jiang, Zhengrong J Transl Med Letter to the Editor BioMed Central 2023-07-26 /pmc/articles/PMC10369721/ /pubmed/37495984 http://dx.doi.org/10.1186/s12967-023-04354-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
| spellingShingle | Letter to the Editor Huang, Chunling Chen, Lijun Huang, Huibin Cai, Qingyan Lin, Ruhai Wu, Xiaohong Zhuang, Yong Jiang, Zhengrong Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions |
| title | Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions |
| title_full | Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions |
| title_fullStr | Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions |
| title_full_unstemmed | Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions |
| title_short | Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions |
| title_sort | evaluate the accuracy of chatgpt’s responses to diabetes questions and misconceptions |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369721/ https://www.ncbi.nlm.nih.gov/pubmed/37495984 http://dx.doi.org/10.1186/s12967-023-04354-6 |
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