AI evaluation of gum health using smartphones

Automatic Multiple Level Gum Disease Detection Based on Deep Neural Network: Algorithm and System

Observational The University of Hong Kong · NCT05685355

This study tests if using smartphones and AI can help track gum health in adults with gingivitis to catch problems early and improve their oral care.

Quick facts

Study typeObservational
Enrollment1200 (estimated)
Ages18 Years and up
SexAll
SponsorThe University of Hong Kong Academic / other
Locations1 site (Hong Kong)
Trial IDNCT05685355 on ClinicalTrials.gov

What this trial studies

This observational study aims to evaluate gum health in adults diagnosed with gingivitis by utilizing standardized intraoral photography and artificial intelligence techniques. Participants will have their gum condition monitored over multiple dental visits to assess plaque accumulation and inflammation. The study focuses on improving early detection and management of gingivitis, which is often asymptomatic until advanced stages. By leveraging mobile technology, the study seeks to enhance patient engagement in oral health maintenance.

Who should consider this trial

Good fit: Ideal candidates are adults attending The Prince Philip Dental Hospital who have been diagnosed with gingivitis and possess 24 or more teeth.

Not a fit: Patients with acute dental infections, oral mucosal diseases, or those requiring orthodontic treatment may not benefit from this study.

Why it matters

Potential benefit: If successful, this approach could lead to earlier detection and better management of gingivitis, ultimately improving oral health outcomes for patients.

How similar studies have performed: While the use of AI in dental health monitoring is emerging, this specific approach utilizing smartphones for gingivitis evaluation is relatively novel and has not been extensively tested in prior studies.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Adult subjects attending The Prince Philip Dental Hospital (PPDH) whoare able to give informed consent.
2. Subjects who are diagnosed to have gingivitis only and have 24 or more teeth.
3. Subjects who are otherwise medically healthy.
4. Subjects who can attend multiple dental visits.

Exclusion Criteria:

1. Subjects who are in acute dental infection or in pain.
2. Subjects who have oral mucosal diseases that preclude retraction of soft tissues for photos.
3. Subjects who are in a fixed appliance for orthodontic treatment.
4. Subjects who are pregnant, or medically unfit for periodontal charting or require antibiotic coverage (e.g. risk of infective endocarditis)

Where this trial is running

Hong Kong

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions GingivitisGingivitis detectionSemantic segmentationinflammationphotographymobile devicedeep neural networkmachine learning
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.