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AI matches dermatologists in skin cancer diagnosis study

NCT ID NCT07415291

Diagnosis Sponsor: Istanbul Training and Research Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 compares an artificial intelligence (AI) model to dermatologists and other doctors in diagnosing skin lesions from photos. Researchers will show the same set of skin lesion images to the AI and to doctors, then compare their diagnoses to the actual diagnosis from a biopsy. The goal is to see if the AI can be a helpful tool for skin cancer detection.

What this could mean

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

Active substance
CNN-based artificial intelligence model
What this could lead to
If successful, this could show that AI can help doctors diagnose skin cancer and other skin lesions more accurately, especially in places without easy access to a dermatologist.
What could go wrong
This is an observational study using old photos, not a real-world test. The AI might not work as well in a clinic with different cameras, lighting, or patients. Also, the AI only sees pictures, not the whole patient.

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 17,625 people

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

Started

Jan 2026

Expected to finish

May 2026

An estimate. End dates often move.

Lead sponsor

A government agency

The lead sponsor is a government body.

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 licensed physicians, including dermatologists, dermatology residents, and non-dermatologist physicians, who independently evaluate anonymized macroscopic clinical images of solitary skin lesions for diagnostic assessment.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * Patients who have provided informed consent for the use of their clinical images in scientific research. * Clinical images with a resolution exceeding 224x224 pixels, ensuring compatibility with the artificial intelligence architecture. * Retrospective records of solitary skin lesions with confirmed diagnoses. Exclusion Criteria: * Patients who have not consented to the use of their clinical photographs for research purposes. * Images containing potentially identifiable personal information or visual features that compromise patient anonymity. * Images with a resolution lower than 224x224 pixels or poor diagnostic quality (e.g., blurring, significant occlusion). * Duplicate images or entries for the same lesion.

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Conditions

The condition(s) this trial relates to.

skin cancer skin neoplasm

As listed by the trial registrant

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

Skin neoplasm malignant Skin neoplasms Solitary skin lesions

Contacts and locations

Locations

  • S.B.Ü. İstanbul Eğitim ve Araştırma Hastanesi

    Istanbul, Fatih, 34098, Turkey (Türkiye)

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