Evidence map›Paper›PMID 42052197›Full record

ArticleFrontiers in oral health2026

Evaluating the effectiveness of an artificial intelligence-based chatbot for reducing dental anxiety among adult dental patients.

Ahmed A Madfa, Abdullah F Alshammari, Bassam A Alanazi, Sulaiman N Alshammari

Abstract read
In one paragraph

Article in Frontiers in oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Development and psychometric validation of the User Experience Scale for Artificial Intelligence QuestionZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
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

4 authors.

Ahmed A MadfaDepartment of Restorative Dental Science, College of Dentistry, University of Ha'il, Ha'il, Saudi Arabia.
Abdullah F AlshammariDepartment of Basic Dental and Medical Science, College of Dentistry, University of Ha'il, Ha'il, Saudi Arabia.
Bassam A AlanaziDental Research Centre, College of Dentistry, University of Ha'il, Ha'il, Saudi Arabia.
Sulaiman N AlshammariDental Student, College of Dentistry, University of Ha'il, Ha'il, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dental anxiety is a common psychological barrier that negatively influences dental attendance, patient cooperation, and treatment outcomes. Traditional anxiety-management strategies are often resource-intensive and difficult to implement routinely. Artificial intelligence (AI)-based chatbots offer a scalable and accessible digital approach that may help reduce dental anxiety through patient education, reassurance, and emotional support. Methods: A quasi-experimental pre-post interventional study was conducted among 415 adult dental patients attending the outpatient clinics of the University of Ha'il, Saudi Arabia. Participants interacted with an AI-based chatbot for 10-15 min prior to treatment. Dental anxiety was assessed before and immediately after chatbot use using the Modified Dental Anxiety Scale (MDAS) across five common dental scenarios. Demographic variables, including gender, age, educational level, and monthly income, were analysed. Chi-square tests and Spearman's correlation were applied to evaluate changes in the severity of dental anxiety and associations between pre- and post-intervention scores. Results: A statistically significant reduction in dental anxiety was observed across all five dental scenarios following chatbot interaction ( Conclusion: The use of the AI-based chatbot demonstrated a consistent association with reduced anticipatory dental anxiety across diverse patient groups and clinical scenarios. As a low-cost, scalable, and patient-centred tool, chatbot-based support may complement conventional anxiety-management strategies and support the patient experience in routine dental care.

Indexed as

anxiety managementartificial intelligencechatbotdental anxietydigital healthpatient education

Identifiers

PMID42052197
PMCPMC13111327

What OpenQuestion holds

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LicenceCC BY
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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.