Assessing the Accuracy of AI Models in Orthodontic Knowledge: A Comparative Study Between ChatGPT-4 and Google Bard.
J Coll Physicians Surg Pak
; 34(7): 761-766, 2024 Jul.
Article
em En
| MEDLINE
| ID: mdl-38978236
ABSTRACT
OBJECTIVE:
To compare the knowledge accuracy of ChatGPT-4 and Google Bard in response to knowledge-based questions related to orthodontic diagnosis and treatment modalities. STUDYDESIGN:
Cross-sectional comparative study. Place and Duration of the Study Department of Orthodontics, Rawal Institute of Health Sciences, Islamabad, Pakistan, from June 23rd to August 30th 2023.METHODOLOGY:
A comprehensive content analysis was designed based on a mini implant-assisted rapid palatal expansion (MARPE), clear aligners (CA), and cone beam computed tomography (CBCT), involving 30 questions for each category (total = 90) derived from recent review articles. Questions were prepared and presented to two large language models (LLMs) Google Bard and ChatGPT-4. Two independent raters evaluated the accuracy of the responses using a scoring system ranging from one to five, by comparing the answers to a standard key. Statistical analyses, including the paired sample t-test, were used to assess the performance of the two language models.RESULTS:
GPT-4 demonstrated superior performance, outperforming Google Bard significantly in the MARPE, CBCT, and CA categories, and achieved a higher mean score. A p-value was found to be (p = 0.001) for MARPE and CBCT, while it was (p = 0.013) for CA. Overall, GPT-4 achieved a total score of 92.6%, surpassing Google Bard's which was 72%.CONCLUSION:
GPT-4 is more efficient than Google Bard in providing accurate and up-to-date information regarding recent trends in orthodontic treatment modalities. KEY WORDS Aligners, Cone beam computed tomography, ChatGPT-4, Google Bard, Mini implant-assisted rapid palatal expansion.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ortodontia
/
Tomografia Computadorizada de Feixe Cônico
Limite:
Humans
País/Região como assunto:
Asia
Idioma:
En
Revista:
J Coll Physicians Surg Pak
Assunto da revista:
MEDICINA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Paquistão
País de publicação:
Paquistão