Student Theses, Dissertations and Capstones
Document Type
Thesis - NSU Access Only
Degree Name
Master of Science (M.S.) in Dentistry
Copyright Statement
All rights reserved. This publication is intended for use solely by faculty, students, and staff of Nova Southeastern University. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.
Department
College of Dental Medicine
First Advisor
Cristina Godoy
Date of original Performance / Presentation
January 2025
Publication Date / Copyright Date
1-1-2025
NSUWorks Citation
Mitchell Hong. 2025. Assessing Generative Pretrained Transformers (GPT) in Orthodontic Clear Aligner Therapy Knowledge: Comparative Analysis of English and Spanish Responses. Master's thesis. Nova Southeastern University. Retrieved from NSUWorks, College of Dental Medicine. (170)
https://nsuworks.nova.edu/hpd_cdm_stuetd/170.
Abstract
Objectives: The objective of this study was to evaluate the performance of ChatGPT-4o mini in responding to frequently asked questions regarding orthodontic clear aligner therapy (CAT) in both English and Spanish. Additionally, the study aimed to compare the accuracy ratings assigned by U.S.-licensed orthodontists practicing in academia versus private practice settings. Methods: In this cross-sectional study, 56 questions about orthodontic CAT were generated using ChatGPT-4o mini in both English and Spanish. The model was then prompted to generate answers to each question in the corresponding language. Four orthodontists, self-reported as fluent in either English or Spanish, independently assessed the accuracy of the responses using a modified four-point scale. Statistical analysis was performed using the Wilcoxon signed-rank test to evaluate differences in accuracy between the English and Spanish responses and between orthodontists from academic versus private practice settings. Inter-rater reliability was established through a pilot assessment conducted prior to the formal grading process. Results: 56 questions were scored by each orthodontist. The mean scores of each orthodontist were as follows: English 1; 1.16 ( +/- 0.532), English 2; 1.29 ( +/- 0.456), Spanish 1; 1.13 ( +/- 0.334), Spanish 2; 1.32 ( +/- 0.664). All orthodontists had a median score of 1.00. When evaluating the results focusing on language, the mean score was 1.22 ( +/- 0.497) with a median score of 1.00. For Spanish, the mean score was 1.22 ( +/- 0.532) with a median score of 1.00. When comparing the accuracy of scores between orthodontists in their respective language, there was a significant difference found between English 1 and English 2 evaluators (p-value < 0.05) with a calculated effect size of |d| = 0.25. No significant difference was found between the Spanish-language evaluators. Conclusions: 1) ChatGPT-4o mini responses to commonly asked questions about orthodontic CAT were accurate. 2) No significant differences were observed in the accuracy of responses between languages. 3) A significant difference was found between the two English-speaking orthodontists but not between the two Spanish-speaking orthodontists.
Disciplines
Dentistry
Keywords
Aligner; Artificial; ChatGPT; Clear; Intelligence; Therapy
Files
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