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AI aims to end Skin-Tone bias in dermatology

NCT ID NCT07765303

Knowledge-focused Sponsor: Region Skane 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 14, 2026 · Last updated Aug 14, 2026

Summary

This study is testing whether artificial intelligence can accurately classify skin pigment, sun sensitivity (phototype), and sun damage from standard photos of the arm. Researchers will enroll 1,500 adults from diverse backgrounds, combining objective color measurements, expert assessments, and questionnaires to train the AI. The goal is to create fairer, more reliable tools for skin cancer risk assessment and dermatology diagnosis across all skin tones.

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 algorithms for skin image analysis
What this could lead to
If successful, this could lead to AI tools that more accurately assess skin cancer risk and tailor sun protection advice across all skin tones.
What could go wrong
The AI may not achieve the target accuracy in all populations, and the study is observational, so it won't directly test a treatment. Privacy risks are minimal but present.

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 1,500 people

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

Started

Apr 2025

Expected to finish

Dec 2028

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

Adults aged 18 years and older will be recruited from dermatology clinics, hospital waiting areas, universities, and other public settings at participating study sites (at present 11 but more are being recruited). The study aims to include individuals representing a broad range of skin pigmentation levels, skin phototypes, and degrees of photodamage. Participants will undergo non-invasive skin imaging, skin characteristic assessments, and questionnaire-based data collection to support the development and validation of artificial intelligence algorithms for classification of skin pigmentation, phototype, and photodamage.

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: * Aged 18 years or older * Able and willing to provide informed consent (oral or written, according to local regulations) * Willing to complete the study questionnaire * Willing to undergo non-invasive skin imaging and skin characteristic assessments of predefined sites on the upper arm and forearm Exclusion Criteria: * Younger than 18 years of age * Unable to provide informed consent * Unable to complete study procedures * Tattoos, prominent scars, wounds, skin lesions, dressings, or other identifiable features at the predefined imaging sites that may interfere with image acquisition, assessment quality, or participant anonymity

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Conditions

The condition(s) this trial relates to.

photosensitivity disease skin neoplasm

As listed by the trial registrant

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

SKIN Skin ageing

How to take part

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

  1. The places running it

    10 sites in 8 countries. 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

  • Clinica Universidad de los Andes

    NOT_YET_RECRUITING

    Santiago, Chile

  • Department of Dermatology Lund, Skåne University Hospital

    RECRUITING

    Lund, Skåne County, 22185, Sweden

  • Department of Dermatology, Hospital Universitario 12 de Octubre

    COMPLETED

    Madrid, Spain

  • Department of Dermatology, Odense University Hospital

    NOT_YET_RECRUITING

    Odense, Denmark

  • Department of Dermatology, Sahlgrenska University Hospital

    RECRUITING

    Gothenburg, Västra Götaland County, Sweden

  • Hospital Clínico Universidad de Chile

    RECRUITING

    Santiago, Chile

  • Hospital de Clínicas de Porto Alegre

    RECRUITING

    Porto Alegre, Brazil

  • Queen Elisabeth Central Hospital

    NOT_YET_RECRUITING

    Blantyre, Malawi

  • Siriraj Hospital, Mahidol University

    RECRUITING

    Bangkok, Thailand

  • University of Colombo

    ENROLLING_BY_INVITATION

    Colombo, Sri Lanka

  • Xiangya Hospital, Central South University

    NOT_YET_RECRUITING

    Changsha, China

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