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AI reads your smile: predicting gum surgery outcomes before you go under

NCT ID NCT07775365

Diagnosis Sponsor: Marmara University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 20, 2026 · Last updated Aug 21, 2026 · Updated 1 time

Summary

This study tests whether a computer model can predict how well gum recession surgery will work by looking at a simple photo taken before the procedure. Adults with gum recession will have standard surgery and be followed for six months. The AI's prediction, based on the photo and other clinical details, will be compared to the actual healing result. If accurate, this could help dentists and patients set realistic expectations before surgery.

What this could mean

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

Active substance
Deep learning model analyzing preoperative intraoral photographs
What this could lead to
If successful, this could give dentists a simple, non-invasive tool to predict whether gum surgery will work, helping patients make informed decisions.
What could go wrong
The study is small and observational, so the model may not be accurate for everyone. It also doesn't influence treatment decisions, so its real-world benefit is uncertain.

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 36 people

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

Started

Sep 2025

Expected to finish

Sep 2027

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 systemically healthy adult patients (aged 18-65) presenting to the Department of Periodontology at Marmara University with esthetic concerns or dentin hypersensitivity associated with gingival recession. The cohort includes individuals diagnosed with Cairo Class RT1 or RT2 (Miller Class I or II) gingival recession defects who are scheduled to undergo mucogingival root coverage surgery.

Ages

18 to 65 years

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: * Systemically healthy patients (ASA I or II status) with no contraindications for periodontal surgery. * Adult patients aged 18 to 65 years. * Presence of isolated or multiple gingival recessions classified as Cairo RT1, RT2 or RT3 in the maxilla or mandible. * Patients with good oral hygiene standards, defined as a Full Mouth Plaque Score (FMPS) and Full Mouth Bleeding Score (FMBS) of \< 20% at baseline. * Presence of an identifiable Cemento-Enamel Junction (CEJ) (Crucial for AI segmentation). Exclusion Criteria: * Patients with uncontrolled diabetes, immune system disorders, or pregnant/lactating women. * Teeth with cervical restorations or abrasions that obscure the CEJ. * Malpositioned or rotated teeth that would distort the photographic angle for AI analysis.

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Conditions

The condition(s) this trial relates to.

gingival recession

As listed by the trial registrant

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

Gingival recessions

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Marmara University Faculty of Dentistry Department of Periodontology

    RECRUITING

    Istanbul, Istanbul, 34854, Turkey (Türkiye)

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