Evidence map›Paper›PMID 40462054›Full record

ArticleBMC oral health2025

Comparative analysis of AI chatbot (ChatGPT-4.0 and Microsoft Copilot) and expert responses to common orthodontic questions: patient and orthodontist evaluations.

Farhad Salmanpour, Hasan Camcı, Ömer Geniş

Abstract readComparative Study
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Farhad SalmanpourDepartment of Orthodontics, Afyonkarahisar Health Sciences University, Güvenevler, İsmet İnönü Cd. No:4, Afyonkarahisar, Merkez, 03030, Turkey. ferhad_selmanpur@yahoo.com.
Hasan CamcıDepartment of Orthodontics, Afyonkarahisar Health Sciences University, Güvenevler, İsmet İnönü Cd. No:4, Afyonkarahisar, Merkez, 03030, Turkey.
Ömer GenişDepartment of Orthodontics, Afyonkarahisar Health Sciences University, Güvenevler, İsmet İnönü Cd. No:4, Afyonkarahisar, Merkez, 03030, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to evaluate the adequacy of responses provided by experts and artificial intelligence-based chatbots (ChatGPT-4.0 and Microsoft Copilot) to frequently asked orthodontic questions, utilizing scores assigned by patients and orthodontists.

methodsFifteen questions were randomly selected from the FAQ section of the American Association of Orthodontists (AAO) website, addressing common concerns related to orthodontic treatments, patient care, and post-treatment guidelines. Expert responses, along with those from ChatGPT-4.0 and Microsoft Copilot, were presented in a survey format via Google Forms. Fifty-two orthodontists and 102 patients rated the three responses for each question on a scale from 1 (least adequate) to 10 (most adequate). The findings were analyzed comparatively within and between groups.

resultsExpert responses consistently received the highest scores from both patients and orthodontists, particularly in critical areas such as Questions 1, 2, 4, 9, and 11, where they significantly outperformed chatbots (P < 0.05). Patients generally rated expert responses higher than those of chatbots, underscoring the reliability of clinical expertise. However, ChatGPT-4.0 showed competitive performance in some questions, achieving its highest score in Question 14 (8.16 ± 1.24), but scored significantly lower than experts in several key areas (P < 0.05). Microsoft Copilot generally received the lowest scores, although it demonstrated statistically comparable performance to other groups in certain questions, such as Questions 3 and 12 (P > 0.05).

conclusionsOverall, the scores for ChatGPT-4.0 and Microsoft Copilot were deemed acceptable (6.0 and above). However, both patients and orthodontists generally rated the expert responses as more adequate. This suggests that current current chatbots does not yet match the theoretical adequacy of expert opinions.

Indexed as

Artificial IntelligenceOrthodonticsOrthodontistsSoftwareAdultFemaleGenerative Artificial IntelligenceHumansMalePatient SatisfactionSurveys and QuestionnairesArtificial intelligenceChatbotChatGPTMicrosoft CopilotOrthodontics

Identifiers

PMID40462054
PMCPMC12135288

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.