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AI could spot mouth cancer early from a simple photo

NCT ID NCT07529769

Diagnosis Sponsor: Assistance Publique - Hôpitaux de Paris Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will collect thousands of photos of mouth lesions from patients seen over 50 years at a French hospital. Experts will review each photo to confirm the diagnosis. Researchers will then use these images and patient data to train an AI system to automatically identify cancerous and precancerous lesions. The goal is to create a tool that helps doctors detect oral cancer earlier and more accurately.

What this could mean

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

Active substance
Artificial intelligence algorithm
What this could lead to
If successful, this AI tool could help dentists and doctors spot oral cancers earlier, potentially improving survival rates.
What could go wrong
This is an early-stage development study using historical photos. The AI may not work as well in real-world settings or on diverse populations.

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 5,000 people

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

Expected to start

Apr 2026

An estimate. Start dates often move.

Expected to finish

Dec 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

Patients followed in the Department of Oral Mucosal Pathology (Maxillofacial Surgery and Stomatology Department, Pitié-Salpêtrière Hospital, AP-HP, Paris) from January 1, 1970, to December 31, 2023, with a diagnosis of potentially malignant oral lesions and/or oral cavity cancer.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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: * Patient aged ≥ 18 years * Patients followed up in the Oral Mucosa Pathology Department (Maxillofacial Surgery and Stomatology Department, Pitié-Salpêtrière Hospital, AP-HP, Paris) between January 1, 1970, and December 31, 2023, with a diagnosis of potentially malignant oral lesion and/or oral cavity cancer. Exclusion Criteria: * Photograph of the lesion unavailable (in standard care)

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Conditions

The condition(s) this trial relates to.

disease Mouth Neoplasms oral cavity squamous cell carcinoma Squamous Cell Carcinoma of Head and Neck

As listed by the trial registrant

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

Oral cavity squamous cell carcinoma Oral potentially malignant disorders

How to take part

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

  1. 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 ↗

  2. 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.

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