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Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567027/ http://dx.doi.org/10.1097/01.GOX.0000992588.09873.87 |
| _version_ | 1785119037523492864 |
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| author | Allam, Omar Williams, Mica Almeida, Mariana Alper, David Craver, Andrew Persing, John Alperovich, Michael |
| author_facet | Allam, Omar Williams, Mica Almeida, Mariana Alper, David Craver, Andrew Persing, John Alperovich, Michael |
| author_sort | Allam, Omar |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10567027 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-105670272023-10-18 Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care Allam, Omar Williams, Mica Almeida, Mariana Alper, David Craver, Andrew Persing, John Alperovich, Michael Plast Reconstr Surg Glob Open PSTM Abstract Supplement Lippincott Williams & Wilkins 2023-10-18 /pmc/articles/PMC10567027/ http://dx.doi.org/10.1097/01.GOX.0000992588.09873.87 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
| spellingShingle | PSTM Abstract Supplement Allam, Omar Williams, Mica Almeida, Mariana Alper, David Craver, Andrew Persing, John Alperovich, Michael Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care |
| title | Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care |
| title_full | Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care |
| title_fullStr | Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care |
| title_full_unstemmed | Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care |
| title_short | Generative Pre-Trained Transformers (GPT) Artificial intelligence – Assessing the Accuracy of ChatGPT as an Adjunct for Peri-operative Care |
| title_sort | generative pre-trained transformers (gpt) artificial intelligence – assessing the accuracy of chatgpt as an adjunct for peri-operative care |
| topic | PSTM Abstract Supplement |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567027/ http://dx.doi.org/10.1097/01.GOX.0000992588.09873.87 |
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