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不同人工智能驱动的聊天机器人对全口四颗种植牙概念的回答比较。

Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept.

作者信息

Akpınar Hasan

机构信息

Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Afyonkarahisar Health Science University, Afyonkarahisar, Türkiye.

出版信息

BMC Oral Health. 2025 Jun 5;25(1):922. doi: 10.1186/s12903-025-06294-7.

DOI:10.1186/s12903-025-06294-7
PMID:40474203
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12142943/
Abstract

BACKGROUND

Recent advancements in Artificial Intelligence (AI) have transformed the healthcare field, particularly through chatbots like ChatGPT, OpenEvidence, and MediSearch. These tools analyze complex data to aid clinical decision-making, enhancing efficiency in diagnosis, treatment planning, and patient management. When applied in the "All-on-Four" dental implant concept, AI facilitates immediate prosthetic restorations and meets the demand for expert guidance. This integration boosts the long-term success of surgical outcomes by providing real-time support and improving patient education and postoperative satisfaction. This study aimed to evaluate the effectiveness of three AI-powered chatbots-ChatGPT 4.0, OpenEvidence, and MediSearch-in answering frequently asked questions regarding the All-on-Four dental implant concept.

METHOD

This study investigated the response accuracy of three AI-powered chatbots to common queries about the All-on-Four dental implant concept. Using alsoasked.com, twenty pertinent questions-ten patient-focused and ten technical-were identified. Oral and maxillofacial surgeons evaluated the chatbot responses using a 5-point Likert scale. Statistical analysis was performed with the Kruskal-Wallis test, supplemented by pairwise Mann-Whitney U tests with Bonferroni correction, to assess the significance of differences among the chatbots' performances.

RESULTS

The Kruskal-Wallis test showed statistically significant differences between the three chatbots for both patient and technical questions (p < 0.01). Pairwise comparisons were evaluated using the Mann-Whitney U test. While significant differences were found among each chatbot for patient questions, no significant difference was observed between ChatGPT and MediSearch for technical questions (p = 0.158). When comparing responses of the same chatbot to patient and technical questions, it was found that MediSearch performed better in technical questions (p < 0.001).

CONCLUSION

Advancements in technology have made AI-powered chatbots an inevitable influence in specialized medical fields such as Oral, Maxillofacial Surgery. Our findings indicate that these chatbots can provide valuable information for patients undergoing medical procedures and serve as a resource for healthcare professionals.

摘要

背景

人工智能(AI)的最新进展已经改变了医疗保健领域,特别是通过ChatGPT、OpenEvidence和MediSearch等聊天机器人。这些工具分析复杂数据以辅助临床决策,提高诊断、治疗计划和患者管理的效率。当应用于“全口四颗”牙种植概念时,人工智能有助于即刻进行修复,并满足对专家指导的需求。这种整合通过提供实时支持、改善患者教育和术后满意度,提高了手术结果的长期成功率。本研究旨在评估三款人工智能驱动的聊天机器人——ChatGPT 4.0、OpenEvidence和MediSearch——在回答有关“全口四颗”牙种植概念常见问题方面的有效性。

方法

本研究调查了三款人工智能驱动的聊天机器人对有关“全口四颗”牙种植概念常见问题的回答准确性。通过alsoasked.com,确定了20个相关问题——10个以患者为中心的问题和10个技术问题。口腔颌面外科医生使用5点李克特量表评估聊天机器人的回答。采用Kruskal-Wallis检验进行统计分析,并辅以经Bonferroni校正的成对Mann-Whitney U检验,以评估聊天机器人表现之间差异的显著性。

结果

Kruskal-Wallis检验显示,三款聊天机器人在患者问题和技术问题上均存在统计学显著差异(p < 0.01)。使用Mann-Whitney U检验进行成对比较。虽然在每个聊天机器人的患者问题之间发现了显著差异,但在ChatGPT和MediSearch的技术问题之间未观察到显著差异(p = 0.158)。当比较同一聊天机器人对患者问题和技术问题的回答时,发现MediSearch在技术问题上表现更好(p < 0.001)。

结论

技术进步使人工智能驱动的聊天机器人在口腔颌面外科等专业医疗领域产生了不可避免的影响。我们的研究结果表明,这些聊天机器人可以为接受医疗程序的患者提供有价值的信息,并作为医疗保健专业人员的资源。

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本文引用的文献

1
Monitoring oral health remotely: ethical considerations when using AI among vulnerable populations.远程监测口腔健康:弱势群体使用人工智能时的伦理考量。
Front Oral Health. 2025 Apr 14;6:1587630. doi: 10.3389/froh.2025.1587630. eCollection 2025.
2
The Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making for Primary Care Physicians.使用人工智能平台OpenEvidence辅助初级保健医生进行临床决策。
J Prim Care Community Health. 2025 Jan-Dec;16:21501319251332215. doi: 10.1177/21501319251332215. Epub 2025 Apr 16.
3
Artificial intelligence performance in answering multiple-choice oral pathology questions: a comparative analysis.人工智能在回答口腔病理学选择题方面的表现:一项对比分析。
BMC Oral Health. 2025 Apr 15;25(1):573. doi: 10.1186/s12903-025-05926-2.
4
Performance of Chat Generative Pretrained Transformer-4.0 in determining labiolingual localization of maxillary impacted canine and presence of resorption in incisors through panoramic radiographs: A retrospective study.基于全景X线片的Chat生成式预训练变换器4.0在确定上颌埋伏尖牙唇舌向位置及切牙吸收情况中的性能:一项回顾性研究
Am J Orthod Dentofacial Orthop. 2025 Aug;168(2):220-231. doi: 10.1016/j.ajodo.2025.02.017. Epub 2025 Apr 10.
5
Artificial intelligence chatbots in endodontic education-Concepts and potential applications.牙髓病学教育中的人工智能聊天机器人——概念与潜在应用
Int Endod J. 2025 Mar 31. doi: 10.1111/iej.14231.
6
Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype.人工智能机器人对牙种植体及种植体周围表型的知识和可靠性评估。
Sci Rep. 2025 Mar 19;15(1):9519. doi: 10.1038/s41598-025-94576-z.
7
Assessing the performance of an artificial intelligence based chatbot in the differential diagnosis of oral mucosal lesions: clinical validation study.评估基于人工智能的聊天机器人在口腔黏膜病变鉴别诊断中的性能:临床验证研究。
Clin Oral Investig. 2025 Mar 18;29(4):188. doi: 10.1007/s00784-025-06268-7.
8
OpenEvidence: Enhancing Medical Student Clinical Rotations With AI but With Limitations.开放证据:利用人工智能提升医学生临床轮转水平,但存在局限性。
Cureus. 2025 Jan 3;17(1):e76867. doi: 10.7759/cureus.76867. eCollection 2025 Jan.
9
Artificial intelligence in dentistry.牙科领域的人工智能
Int Dent J. 2025 Feb;75(1):3-4. doi: 10.1016/j.identj.2024.12.004.
10
Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis.大型语言模型在放射学委员会考试中的性能评估及影响:前瞻性比较分析
JMIR Med Educ. 2025 Jan 16;11:e64284. doi: 10.2196/64284.