Impacts of ChatGPT in Dentistry
This study aimed to investigate on the impacts of ChatGPT in the field of Dentistry, through a narrative review with critical analysis carried out from the Science Direct, PubMed, Scopus and Web of Science databases, using the descriptors in the search fields, such as “Artificial intelligence” and “Odontology”. Eligibility criteria were established related to language (scientific articles published in English and Portuguese), originality (original articles), time frame (published from 2021 to 2023), availability (fully accessible), and theme (pertaining to the ChatGPT tool). The articles that dealt with another type of Artificial Intelligence tool or did not meet the inclusion criteria were excluded from the study. After screening, thirteen studies were selected, which, for the most part, pointed out the benefits related to the use and features of ChatGPT for Dentistry. ChatGPT can be used in academia, supporting the training and development of extracurricular activities. In dental offices, ChatGPT can help with bureaucratic tasks and automated triage. However, it is important to emphasize that this tool does not replace the professional's knowledge and experience. It is concluded that the applicability of ChatGPT in Dentistry is a reality that needs to be further explored, as it represents an important resource and impacts health and, consequently, Dentistry.
Authors
- Carmem Sílvia Laureano Dalle Piagge (ORCID: https://orcid.org/0000-0001-7999-2943)
- Lucas do Nascimento Barbosa (ORCID: https://orcid.org/0000-0002-9680-6783)
- Eduarda Gomes Onofre de Araújo (ORCID: https://orcid.org/0000-0001-7107-6107)
- Letícia Regina Marques Beserra (ORCID: https://orcid.org/0000-0002-7743-6027)
- Livian Isabel de Medeiros Carvalho (ORCID: https://orcid.org/0000-0001-7605-1523)
- Cláudia Batista Mélo (ORCID: https://orcid.org/0000-0001-5300-3510)
- Débora Soares Bacelar (ORCID: https://orcid.org/0000-0002-9989-9006)
- Maria Fernanda Vital Ramalho (ORCID: https://orcid.org/0000-0002-9288-9120)
Institutions
- Universidade Federal da Paraíba (BR)
Publication Details
- Journal
- Revista da ABENO
- Published
- 2024-12-13
- DOI
- https://doi.org/10.30979/revabeno.v24i1.2214
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12