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ScholarGPT's performance in oral and maxillofacial surgery.
Balel, Yunus.
Afiliação
  • Balel Y; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Sivas Cumhuriyet University, Sivas 58000, Turkiye. Electronic address: yunusbalel@hotmail.com.
J Stomatol Oral Maxillofac Surg ; : 102114, 2024 Oct 09.
Article em En | MEDLINE | ID: mdl-39389541
ABSTRACT

OBJECTIVE:

The purpose of this study is to evaluate the performance of Scholar GPT in answering technical questions in the field of oral and maxillofacial surgery and to conduct a comparative analysis with the results of a previous study that assessed the performance of ChatGPT. MATERIALS AND

METHODS:

Scholar GPT was accessed via ChatGPT (www.chatgpt.com) on March 20, 2024. A total of 60 technical questions (15 each on impacted teeth, dental implants, temporomandibular joint disorders, and orthognathic surgery) from our previous study were used. Scholar GPT's responses were evaluated using a modified Global Quality Scale (GQS). The questions were randomized before scoring using an online randomizer (www.randomizer.org). A single researcher performed the evaluations at three different times, three weeks apart, with each evaluation preceded by a new randomization. In cases of score discrepancies, a fourth evaluation was conducted to determine the final score.

RESULTS:

Scholar GPT performed well across all technical questions, with an average GQS score of 4.48 (SD=0.93). Comparatively, ChatGPT's average GQS score in previous study was 3.1 (SD=1.492). The Wilcoxon Signed-Rank Test indicated a statistically significant higher average score for Scholar GPT compared to ChatGPT (Mean Difference = 2.00, SE = 0.163, p < 0.001). The Kruskal-Wallis Test showed no statistically significant differences among the topic groups (χ² = 0.799, df = 3, p = 0.850, ε² = 0.0135).

CONCLUSION:

Scholar GPT demonstrated a generally high performance in technical questions within oral and maxillofacial surgery and produced more consistent and higher-quality responses compared to ChatGPT. The findings suggest that GPT models based on academic databases can provide more accurate and reliable information. Additionally, developing a specialized GPT model for oral and maxillofacial surgery could ensure higher quality and consistency in artificial intelligence-generated information.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Stomatol Oral Maxillofac Surg / J. Stomatol. Oral Maxillofac. Surg / Journal of stomatology, oral and maxillofacial surgery (Online) Ano de publicação: 2024 Tipo de documento: Article País de publicação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Stomatol Oral Maxillofac Surg / J. Stomatol. Oral Maxillofac. Surg / Journal of stomatology, oral and maxillofacial surgery (Online) Ano de publicação: 2024 Tipo de documento: Article País de publicação: França