Evidence map›Paper›PMID 40393663›Full record

ArticleEuropean journal of dentistry2026

Artificial Intelligence Chatbots as Sources of Implant Dentistry Information for the Public: Validity and Reliability Assessment.

Tahani Mohammed Binaljadm, Ahmed Yaseen Alqutaibi, Esam Halboub, Muhammad Sohail Zafar, Samah Saker

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Article in European journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

5 authors.

Tahani Mohammed BinaljadmDepartment of Substitutive Dental Sciences (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.
Ahmed Yaseen AlqutaibiDepartment of Substitutive Dental Sciences (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.ORCID 0000-0001-6536-8269
Esam HalboubDepartment of Maxillofacial Surgery and Diagnostic Science, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Muhammad Sohail ZafarDepartment of Clinical Sciences, College of Dentistry, Ajman University, Ajman, United Arab Emirates.ORCID 0000-0002-5157-7067
Samah SakerDepartment of Substitutive Dental Sciences (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study assessed the reliability and validity of responses from three chatbot systems-OpenAI's GPT-3.5, Gemini, and Copilot-concerning frequently asked questions (FAQs) in implant dentistry posed by patients. Materials and Methods: Twenty FAQs were prompted to three chatbots in three different times utilizing their respective application programming interfaces. The responses were assessed for validity (low and high threshold) and reliability by two prosthodontic consultants using a five-point Likert scale. Statistical Analysis: The test of normality was utilized using the Shapiro-Wilk test. Differences between different chatbots regarding the quantitative variables in a given (fixed) time point and between the same chatbots in different time points were assessed using Friedman's two-way analysis of variance by ranks, followed by pairwise comparisons. All statistical analyses were conducted using the SPSS (Statistical Package for Social Sciences) Version 26.0 software program. Results: GPT-3.5 provided the longest responses, while Gemini was the most concise. All chatbots advised consulting dental professionals more frequently. Validity was high under the low-threshold test but low under the high-threshold test, with Copilot scoring the highest. Reliability was high for all, with Gemini achieving perfect consistency. Conclusion: Chatbots showed consistent and generally valid responses with some variability in accuracy and details. While the chatbots demonstrated a high degree of reliability, their validity-especially under high-threshold criterion-remains limited. Improvements in accuracy and comprehensiveness are necessary for more effective use in providing information about dental implants.

Identifiers

PMID40393663
PMCPMC13160598

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Registered trials

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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.