AI boosts skin diagnosis accuracy in small trial
NCT ID NCT07428954
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study tested whether an AI device could help 16 doctors (10 general practitioners and 6 dermatologists) more accurately diagnose 13 different skin conditions, including melanoma, psoriasis, and acne. The doctors reviewed 29 medical images, first giving a diagnosis on their own, then seeing the AI's top five suggestions before making a final decision. The goal was to see if AI support improves diagnostic accuracy and reduces the need for specialist referrals.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI-based medical device (computer-aided diagnosis software)
- What this could lead to
- If successful, this AI tool could help general doctors diagnose skin conditions more accurately, reducing unnecessary specialist referrals and speeding up treatment.
- What could go wrong
- This was a small, completed study with only 16 doctors and 29 images. Real-world results may differ, and the AI may not work as well on diverse skin types or in busy clinics.
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
-
16 people
The number who actually took part.
- Started
-
Jun 2024
- Finished
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Oct 2024
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
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 board-certified healthcare professionals recruited from the clinical fields of general medicine and dermatology. The participant group includes: * Primary Care Practitioners: General practitioners who often serve as the first point of contact for patients with dermatological symptoms. * Specialist Dermatologists: Physicians with advanced expertise in skin pathologies and rare conditions. * Experience Level: The cohort includes practitioners with at least 5 years of clinical experience in their respective specialities. Participants were recruited to engage in a remote, web-based evaluation environment rather than being selected from a single physical hospital or town. The clinical images evaluated as part of the study "cases" were sourced from international public dermatology atlases and existing research databases from the sponsor, representing a diverse global patient population.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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: * Board-certified primary care practitioners and dermatologists, regardless of their professional experience. * High-quality images of patients with different skin conditions. Exclusion Criteria: * Low-quality images of patients which can not be properly analyzed.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
AI Labs Group S.L.
Bilbao, Basque Country, Spain
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