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AI could spot gum disease faster than your dentist

NCT ID NCT07629934

Diagnosis Sponsor: Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether artificial intelligence (AI) can accurately diagnose periodontitis (severe gum disease) and monitor gum inflammation using dental records and X-rays. Researchers will develop and validate AI models using data from 900 patients across multiple hospitals. The goal is to see if AI can reliably classify gum disease stages and detect inflammation, which could help dentists make faster and more consistent diagnoses.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI-driven diagnostic software
What this could lead to
If successful, this could provide dentists with a reliable AI tool to automatically detect gum disease and monitor inflammation, potentially improving early diagnosis and treatment planning.
What could go wrong
This is an observational study, not a treatment trial. The AI models are still being developed and tested, so they may not be accurate enough for real-world use yet.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 900 people

The number the study aims to enrol. It can still change while the study runs.

Started

Sep 2025

Expected to finish

Sep 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population consists of adult patients who sought routine dental care or periodontal evaluation at the primary medical center (including its main campus and an alternative secondary campus) and two independent regional hospitals. This multi-center population reflects a real-world, diverse clinical screening pool of patients presenting with varying degrees of periodontal health, ranging from completely healthy gingiva to severe, advanced periodontitis. Eligible participants are identified based on the availability of concurrent full-mouth clinical periodontal charting and digital panoramic radiographs.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. Patients aged \> 18 years at the time of their clinical periodontal examination. 2. Availability of complete full-mouth periodontal charting records, which must include Probing Depth (PD) and Bleeding on Probing (BOP) documented at 6 sites per tooth. 3. Availability of a digital panoramic radiograph of acceptable diagnostic quality, taken within one months of the clinical periodontal examination. Exclusion Criteria: 1. Patients who are completely edentulous or those who have undergone full-arch dental implant rehabilitation (not applicable for natural teeth periodontitis staging). 2. Panoramic radiographs with severe image degradation, including major motion artifacts, severe positioning errors, or poor contrast/exposure that obscures the alveolar bone crest. 3. Presence of extensive metal artifacts or massive bilateral multiple fixed crowns/bridges that completely shadow the marginal bone level of interest. 4. Incomplete clinical electronic medical records or missing core diagnostic descriptors required to establish the clinical gold standard for periodontitis staging or gingival inflammation.

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Conditions

The condition(s) this trial relates to.

gingivitis periodontal disorder periodontitis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Periodontal disease

Contacts and locations

Locations

  • Shanghai Ninth People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine

    Shanghai, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.