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不同人工智能应用在应对牙髓再生治疗程序中的评估

Evaluation of different artificial intelligence applications in responding to regenerative endodontic procedures.

作者信息

Ekmekci Ece, Durmazpinar Parla Meva

机构信息

Department of Endodontics, Faculty of Dentistry, Marmara University, Başıbüyük, Başıbüyük Yolu Marmara Üniversitesi Başıbüyük Sağlık Yerleşkesi 9/3, Başıbüyük - Maltepe, PO Box: 34854, İstanbul, Turkey.

出版信息

BMC Oral Health. 2025 Jan 11;25(1):53. doi: 10.1186/s12903-025-05424-5.

DOI:10.1186/s12903-025-05424-5
PMID:39799304
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11725189/
Abstract

INTRODUCTION

The integration of artificial intelligence (AI) technologies in healthcare is revolutionizing the workflows of healthcare professionals, enabling faster and more accurate patient treatment. This study aims to evaluate the accuracy of responses provided by different AI chatbots to questions that dentists might ask regarding regenerative endodontic treatment (RET), a procedure that shows promising biological healing potential.

METHODS

A total of 23 questions related to RET procedures were developed based on the American Association of Endodontists (AAE) 2022 guidelines. These questions were presented to three platforms: Google Bard (Gemini), ChatGPT-4o, and ChatGPT-4 with a PDF plugin. The questions were asked three times a day over the course of 10 days by two different researchers. The responses obtained were categorized as correct, incorrect, or insufficient according to the guidelines, and the results were statistically analyzed.

RESULTS

A total of 1,380 responses were collected from the three platforms. Statistical analysis revealed significant relationships between the responses given by the platforms during morning, noon, and evening sessions (p < 0.05). ChatGPT-4 with the PDF plugin had the highest correct response rate (98.1%), while Gemini depicted the lowest (48%).

CONCLUSIONS

While ChatGPT-4o and Gemini offer promising results for regenerative endodontic clinical applications, they do not provide sufficient guidance. However, ChatGPT-4 with the PDF plugin could be a valuable tool for clinicians due to its high accuracy rate. Further research is needed to develop AI programs specifically designed for clinicians in the field of endodontics.

摘要

引言

人工智能(AI)技术在医疗保健领域的整合正在彻底改变医疗保健专业人员的工作流程,使患者治疗更快、更准确。本研究旨在评估不同人工智能聊天机器人对牙医可能提出的有关再生牙髓治疗(RET)问题的回答准确性,RET是一种具有良好生物愈合潜力的治疗方法。

方法

根据美国牙髓病学家协会(AAE)2022年指南,共制定了23个与RET治疗程序相关的问题。这些问题被呈现给三个平台:谷歌巴德(Gemini)、ChatGPT-4o和带有PDF插件的ChatGPT-4。两位不同的研究人员在10天内每天三次提出这些问题。根据指南,将获得的回答分类为正确、错误或不充分,并对结果进行统计分析。

结果

从三个平台共收集到1380个回答。统计分析显示,平台在上午、中午和晚上的回答之间存在显著关系(p < 0.05)。带有PDF插件的ChatGPT-4的正确回答率最高(98.1%),而Gemini的正确回答率最低(48%)。

结论

虽然ChatGPT-4o和Gemini在再生牙髓临床应用方面取得了有前景的结果,但它们提供的指导并不充分。然而,带有PDF插件的ChatGPT-4因其高准确率,可能成为临床医生的宝贵工具。需要进一步研究开发专门为牙髓病学领域临床医生设计的人工智能程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a700/11725189/9d08e148f355/12903_2025_5424_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a700/11725189/f00326450af1/12903_2025_5424_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a700/11725189/9d08e148f355/12903_2025_5424_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a700/11725189/f00326450af1/12903_2025_5424_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a700/11725189/9d08e148f355/12903_2025_5424_Fig2_HTML.jpg

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