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Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris
| 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/PMC10685272/ https://www.ncbi.nlm.nih.gov/pubmed/37962920 http://dx.doi.org/10.2196/50409 |
| _version_ | 1785151594140008448 |
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| author | Lakdawala, Nehal Channa, Leelakrishna Gronbeck, Christian Lakdawala, Nikita Weston, Gillian Sloan, Brett Feng, Hao |
| author_facet | Lakdawala, Nehal Channa, Leelakrishna Gronbeck, Christian Lakdawala, Nikita Weston, Gillian Sloan, Brett Feng, Hao |
| author_sort | Lakdawala, Nehal |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10685272 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | JMIR Publications |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-106852722023-11-30 Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris Lakdawala, Nehal Channa, Leelakrishna Gronbeck, Christian Lakdawala, Nikita Weston, Gillian Sloan, Brett Feng, Hao JMIR Dermatol Research Letterr JMIR Publications 2023-11-14 /pmc/articles/PMC10685272/ /pubmed/37962920 http://dx.doi.org/10.2196/50409 Text en ©Nehal Lakdawala, Leelakrishna Channa, Christian Gronbeck, Nikita Lakdawala, Gillian Weston, Brett Sloan, Hao Feng. Originally published in JMIR Dermatology (http://derma.jmir.org), 14.11.2023. 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 JMIR Dermatology, is properly cited. The complete bibliographic information, a link to the original publication on http://derma.jmir.org, as well as this copyright and license information must be included. |
| spellingShingle | Research Letterr Lakdawala, Nehal Channa, Leelakrishna Gronbeck, Christian Lakdawala, Nikita Weston, Gillian Sloan, Brett Feng, Hao Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris |
| title | Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris |
| title_full | Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris |
| title_fullStr | Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris |
| title_full_unstemmed | Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris |
| title_short | Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris |
| title_sort | assessing the accuracy and comprehensiveness of chatgpt in offering clinical guidance for atopic dermatitis and acne vulgaris |
| topic | Research Letterr |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685272/ https://www.ncbi.nlm.nih.gov/pubmed/37962920 http://dx.doi.org/10.2196/50409 |
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