Large-Language Models in Orthodontics: Assessing Reliability and Validity of ChatGPT in Pretreatment Patient Education
Although patients generally prefer AI-generated information regarding the side effects of orthodontic treatment, the tested prompts fall short of providing thoroughly satisfactory and high-quality education to patients.
Authors
- Stratos Vassis (ORCID: https://orcid.org/0009-0006-3785-1011)
- Harriet Powell
- Kasper Dahl Kristensen (ORCID: https://orcid.org/0000-0003-1271-0934)
- Beatrice Noeldeke (ORCID: https://orcid.org/0000-0003-2945-2396)
- Peter Bangsgaard Stoustrup (ORCID: https://orcid.org/0000-0002-0903-6718)
- Asta Barkmann
- Emma Petersen
Institutions
- Aarhus University (DK)
- Aarhus Municipality (DK)
- Aarhus University Hospital (DK)
Publication Details
- Journal
- Cureus
- Published
- 2024-08-29
- DOI
- https://doi.org/10.7759/cureus.68085
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.20