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Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520763/ https://www.ncbi.nlm.nih.gov/pubmed/37695668 http://dx.doi.org/10.2196/49240 |
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author | Sezgin, Emre Chekeni, Faraaz Lee, Jennifer Keim, Sarah |
author_facet | Sezgin, Emre Chekeni, Faraaz Lee, Jennifer Keim, Sarah |
author_sort | Sezgin, Emre |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10520763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-105207632023-09-27 Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study Sezgin, Emre Chekeni, Faraaz Lee, Jennifer Keim, Sarah J Med Internet Res Research Letter JMIR Publications 2023-09-11 /pmc/articles/PMC10520763/ /pubmed/37695668 http://dx.doi.org/10.2196/49240 Text en ©Emre Sezgin, Faraaz Chekeni, Jennifer Lee, Sarah Keim. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.09.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Research Letter Sezgin, Emre Chekeni, Faraaz Lee, Jennifer Keim, Sarah Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study |
title | Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study |
title_full | Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study |
title_fullStr | Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study |
title_full_unstemmed | Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study |
title_short | Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study |
title_sort | clinical accuracy of large language models and google search responses to postpartum depression questions: cross-sectional study |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520763/ https://www.ncbi.nlm.nih.gov/pubmed/37695668 http://dx.doi.org/10.2196/49240 |
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