{"title":"Patient trust in artificial intelligence for orthodontic advice: A systematic review.","authors":"Sanjana Santhosh Kumar, Dimitrios Michelogiannakis, Xiuhui Xu, Rachel Chacko, Junad Khan","doi":"10.1016/j.adaj.2025.08.003","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) large language models are being used increasingly for health care-related queries. This systematic review assessed the reliability of AI chatbot responses to patient questions related to orthodontics.</p><p><strong>Types of studies reviewed: </strong>PubMed, Web of Science, Scopus, Ovid MEDLINE, and Embase were systematically searched for studies published from January 1, 2022, through February 28, 2025. Only cross-sectional studies were included. Data were screened and extracted, and the risk of bias was assessed.</p><p><strong>Results: </strong>Of 105 identified studies, 13 met the inclusion criteria. ChatGPT (OpenAI) showed 68.7% and 92.6% accuracy rates, scoring well on Likert scales and DISCERN evaluations. However, some studies reported lower scores (2.2/4.0, 3.8/10.0) and mixed results for Bard (Google) and Gemini (Google), highlighting inconsistencies in chatbot performance.</p><p><strong>Practical implications: </strong>Whereas large language models, particularly ChatGPT, cannot replace professional consultations, they offer generally reliable orthodontic information and can be valuable tools for addressing routine patient questions. Based on evolving commentary, AI is likely to serve as a frontline support system in the future, helping manage common inquiries, reduce clinician workload, and improve cost-effectiveness while ensuring that final care decisions remain with qualified professionals. This review was registered in Open Science Factory (https://doi.org/10.17605/OSF.IO/X8HJT).</p>","PeriodicalId":17197,"journal":{"name":"Journal of the American Dental Association","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Dental Association","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.adaj.2025.08.003","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Artificial intelligence (AI) large language models are being used increasingly for health care-related queries. This systematic review assessed the reliability of AI chatbot responses to patient questions related to orthodontics.
Types of studies reviewed: PubMed, Web of Science, Scopus, Ovid MEDLINE, and Embase were systematically searched for studies published from January 1, 2022, through February 28, 2025. Only cross-sectional studies were included. Data were screened and extracted, and the risk of bias was assessed.
Results: Of 105 identified studies, 13 met the inclusion criteria. ChatGPT (OpenAI) showed 68.7% and 92.6% accuracy rates, scoring well on Likert scales and DISCERN evaluations. However, some studies reported lower scores (2.2/4.0, 3.8/10.0) and mixed results for Bard (Google) and Gemini (Google), highlighting inconsistencies in chatbot performance.
Practical implications: Whereas large language models, particularly ChatGPT, cannot replace professional consultations, they offer generally reliable orthodontic information and can be valuable tools for addressing routine patient questions. Based on evolving commentary, AI is likely to serve as a frontline support system in the future, helping manage common inquiries, reduce clinician workload, and improve cost-effectiveness while ensuring that final care decisions remain with qualified professionals. This review was registered in Open Science Factory (https://doi.org/10.17605/OSF.IO/X8HJT).
期刊介绍:
There is not a single source or solution to help dentists in their quest for lifelong learning, improving dental practice, and dental well-being. JADA+, along with The Journal of the American Dental Association, is striving to do just that, bringing together practical content covering dentistry topics and procedures to help dentists—both general dentists and specialists—provide better patient care and improve oral health and well-being. This is a work in progress; as we add more content, covering more topics of interest, it will continue to expand, becoming an ever-more essential source of oral health knowledge.