Evidence map›Paper›PMID 40646219›Full record

ArticleBritish dental journal2025

Evaluating user perceptions and usability of an AI-powered smartphone application for at-home dental plaque screening.

Dania Al-Zubaidy, Nicola Innes, Jennifer Galloway, Waraf Al-Yaseen

Abstract read
In one paragraph

Article in British dental journal, 2025. 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.

Dania Al-ZubaidyCardiff University School of Dentistry, University Hospital Wales, Heath Park, Cardiff, CF14 4XY, United Kingdom.
Nicola InnesCardiff University School of Dentistry, University Hospital Wales, Heath Park, Cardiff, CF14 4XY, United Kingdom.
Jennifer GallowayCardiff University School of Dentistry, University Hospital Wales, Heath Park, Cardiff, CF14 4XY, United Kingdom.
Waraf Al-YaseenCardiff University School of Dentistry, University Hospital Wales, Heath Park, Cardiff, CF14 4XY, United Kingdom. al-yaseenw1@cardiff.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Artificial intelligence (AI)-powered mobile applications (apps) like TestMyTeeth offer potential for at-home dental plaque screening.Objective To evaluate usability and user perceptions of the TestMyTeeth app for remote plaque detection.Methods A cross-sectional study with adult participants recruited using convenience sampling. Participants used the app and completed an online questionnaire including the system usability scale (SUS) and user experience items. Descriptive statistics summarised demographics and responses. SUS scores and non-parametric tests assessed usability differences across age, education level and sex.Results For 132 participants recruited (75% female; 90% under 44 years-old), the mean SUS score was 56.2 (standard deviation ± 13.5; range: 10-85), indicating 'marginal' acceptability. Additionally, 54.6% were interested in frequent use, 41.6% found the app easy to use and 50% needed technical support. Participants found significant challenges capturing intra-oral photographs, especially for posterior teeth. No significant SUS score differences were found for age (p = 0.951), education level (p = 0.569), or sex (p = 0.154). Qualitative feedback highlighted benefits of self-monitoring but concerns about app complexity and accuracy without professional guidance.Conclusion The app shows potential for empowering at-home dental plaque screening but faces usability challenges. Improvements in user interface and photo-capture functionality would enhance usability.

Indexed as

Artificial IntelligenceDental PlaqueMobile ApplicationsSmartphoneAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID40646219
PMCPMC12254032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.