ArticleInternational dental journal2025
Accuracy of Dental Symptom Checker Web Application in the Singapore Military Population.
Article in International 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.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Digital Dentistry in Clinical Practice: A Scoping Review of Current Capabilities and Future Directions.International dental journal · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSymptom checkers (SCs) are virtual health aids to assist laypersons in self-assessing dental complaints. This study aimed to investigate the triage performance, clinical efficacy, and user-perceived utility of a prototype dental SC, Toothbuddy, in assessing unscheduled dental complaints in Singapore.
methodsA pilot trial was conducted amongst all unscheduled dental attendees to military dental facilities in Singapore from January to May 2023. The accuracy of Toothbuddy to tele-triage dental conditions into 3 categories-routine, urgent, and emergency-was determined. Based on the patient-reported symptoms input, clinical recommendations were provided to users for each category. Thereafter, all dental attendees were clinically assessed to determine the definitive category. Finally, a user questionnaire assessed the application's functionality and utility and the user's satisfaction. Sensitivity and specificity analyses were performed.
resultsDuring the study, 588 patients with unscheduled dental visits presented. Of these cases, 275 (46.8%) were evaluated to be routine dental conditions for which treatment could be delayed or self-managed, 243 (41.3%) required urgent dental care, and 60 (10.2%) required emergency dental intervention. The accuracy of Toothbuddy in identifying the correct category was 79.6% (468/588). Sensitivity and specificity in categorising routine vs non-routine conditions were 94.5% (95% confidence interval, 92.0%-97.1%) and 74.0% (95% confidence interval, 68.8%-79.2%), respectively. The app was generally well received and rated highly.
conclusionsPreliminary data suggest that Toothbuddy can perform accurate dental self-assessment for a suitable range of common dental concerns and this is a promising platform for virtual advice on spontaneous dental issues. Furthermore, dental facilities are typically not sized to handle the large volumes of unplanned dental visits that may occur in the military population. SC apps to self-manage or delay treatment without adversely affecting disease prognosis may preserve the limited bandwidth of dental facilities in providing acute care and managing true dental emergencies expediently.
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