Implications of large language models such as ChatGPT for dental medicine.
artificial intelligence
dental care
dental education
evidence-based dentistry
machine learning
Journal
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
ISSN: 1708-8240
Titre abrégé: J Esthet Restor Dent
Pays: England
ID NLM: 101096515
Informations de publication
Date de publication:
10 2023
10 2023
Historique:
revised:
25
03
2023
received:
07
03
2023
accepted:
28
03
2023
medline:
23
10
2023
pubmed:
6
4
2023
entrez:
5
4
2023
Statut:
ppublish
Résumé
This article provides an overview of the implications of ChatGPT and other large language models (LLMs) for dental medicine. ChatGPT, a LLM trained on massive amounts of textual data, is adept at fulfilling various language-related tasks. Despite its impressive capabilities, ChatGPT has serious limitations, such as occasionally giving incorrect answers, producing nonsensical content, and presenting misinformation as fact. Dental practitioners, assistants, and hygienists are not likely to be significantly impacted by LLMs. However, LLMs could affect the work of administrative personnel and the provision of dental telemedicine. LLMs offer potential for clinical decision support, text summarization, efficient writing, and multilingual communication. As more people seek health information from LLMs, it is crucial to safeguard against inaccurate, outdated, and biased responses to health-related queries. LLMs pose challenges for patient data confidentiality and cybersecurity that must be tackled. In dental education, LLMs present fewer challenges than in other academic fields. LLMs can enhance academic writing fluency, but acceptable usage boundaries in science need to be established. While LLMs such as ChatGPT may have various useful applications in dental medicine, they come with risks of malicious use and serious limitations, including the potential for misinformation. Along with the potential benefits of using LLMs as an additional tool in dental medicine, it is crucial to carefully consider the limitations and potential risks inherent in such artificial intelligence technologies.
Substances chimiques
Fenbendazole
621BVT9M36
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
1098-1102Subventions
Organisme : Freiwillige Akademische Gesellschaft
Organisme : Gottfried und Julia Bangerter-Rhyner-Stiftung
Informations de copyright
© 2023 The Authors. Journal of Esthetic and Restorative Dentistry published by Wiley Periodicals LLC.
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