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Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging
INTRODUCTION: Artificial Intelligence (AI) is a tool that is already part of our reality, and this is an opportunity to understand how it can be useful in interacting with patients and providing valuable information about orthodontics. OBJECTIVE: This study evaluated the accuracy of ChatGPT in provi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dental Press International
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627416/ https://www.ncbi.nlm.nih.gov/pubmed/37937680 http://dx.doi.org/10.1590/2177-6709.28.5.e2323183.oar |
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author | TANAKA, Orlando Motohiro GASPARELLO, Gil Guilherme HARTMANN, Giovani Ceron CASAGRANDE, Fernando Augusto PITHON, Matheus Melo |
author_facet | TANAKA, Orlando Motohiro GASPARELLO, Gil Guilherme HARTMANN, Giovani Ceron CASAGRANDE, Fernando Augusto PITHON, Matheus Melo |
author_sort | TANAKA, Orlando Motohiro |
collection | PubMed |
description | INTRODUCTION: Artificial Intelligence (AI) is a tool that is already part of our reality, and this is an opportunity to understand how it can be useful in interacting with patients and providing valuable information about orthodontics. OBJECTIVE: This study evaluated the accuracy of ChatGPT in providing accurate and quality information to answer questions on Clear aligners, Temporary anchorage devices and Digital imaging in orthodontics. METHODS: forty-five questions and answers were generated by the ChatGPT 4.0, and analyzed separately by five orthodontists. The evaluators independently rated the quality of information provided on a Likert scale, in which higher scores indicated greater quality of information (1 = very poor; 2 = poor; 3 = acceptable; 4 = good; 5 = very good). The Kruskal-Wallis H test (p< 0.05) and post-hoc pairwise comparisons with the Bonferroni correction were performed. RESULTS: From the 225 evaluations of the five different evaluators, 11 (4.9%) were considered as very poor, 4 (1.8%) as poor, and 15 (6.7%) as acceptable. The majority were considered as good [34 (15,1%)] and very good [161 (71.6%)]. Regarding evaluators’ scores, a slight agreement was perceived, with Fleiss’s Kappa equal to 0.004. CONCLUSIONS: ChatGPT has proven effective in providing quality answers related to clear aligners, temporary anchorage devices, and digital imaging within the context of interest of orthodontics. |
format | Online Article Text |
id | pubmed-10627416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dental Press International |
record_format | MEDLINE/PubMed |
spelling | pubmed-106274162023-11-07 Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging TANAKA, Orlando Motohiro GASPARELLO, Gil Guilherme HARTMANN, Giovani Ceron CASAGRANDE, Fernando Augusto PITHON, Matheus Melo Dental Press J Orthod Original Article INTRODUCTION: Artificial Intelligence (AI) is a tool that is already part of our reality, and this is an opportunity to understand how it can be useful in interacting with patients and providing valuable information about orthodontics. OBJECTIVE: This study evaluated the accuracy of ChatGPT in providing accurate and quality information to answer questions on Clear aligners, Temporary anchorage devices and Digital imaging in orthodontics. METHODS: forty-five questions and answers were generated by the ChatGPT 4.0, and analyzed separately by five orthodontists. The evaluators independently rated the quality of information provided on a Likert scale, in which higher scores indicated greater quality of information (1 = very poor; 2 = poor; 3 = acceptable; 4 = good; 5 = very good). The Kruskal-Wallis H test (p< 0.05) and post-hoc pairwise comparisons with the Bonferroni correction were performed. RESULTS: From the 225 evaluations of the five different evaluators, 11 (4.9%) were considered as very poor, 4 (1.8%) as poor, and 15 (6.7%) as acceptable. The majority were considered as good [34 (15,1%)] and very good [161 (71.6%)]. Regarding evaluators’ scores, a slight agreement was perceived, with Fleiss’s Kappa equal to 0.004. CONCLUSIONS: ChatGPT has proven effective in providing quality answers related to clear aligners, temporary anchorage devices, and digital imaging within the context of interest of orthodontics. Dental Press International 2023-11-03 /pmc/articles/PMC10627416/ /pubmed/37937680 http://dx.doi.org/10.1590/2177-6709.28.5.e2323183.oar Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Original Article TANAKA, Orlando Motohiro GASPARELLO, Gil Guilherme HARTMANN, Giovani Ceron CASAGRANDE, Fernando Augusto PITHON, Matheus Melo Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging |
title | Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging |
title_full | Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging |
title_fullStr | Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging |
title_full_unstemmed | Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging |
title_short | Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging |
title_sort | assessing the reliability of chatgpt: a content analysis of self-generated and self-answered questions on clear aligners, tads and digital imaging |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627416/ https://www.ncbi.nlm.nih.gov/pubmed/37937680 http://dx.doi.org/10.1590/2177-6709.28.5.e2323183.oar |
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