AI boosts skin diagnosis accuracy for GPs in small trial
NCT ID NCT07428941
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether an artificial intelligence (AI) tool could help primary care doctors diagnose skin conditions more accurately. Nine doctors reviewed 30 images of various skin problems, first giving their own diagnosis and then a final diagnosis after seeing the AI's suggestions. The goal was to see if the AI improved diagnostic accuracy and helped doctors decide whether a patient needs a specialist referral.
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 (Legit.Health Plus) for computer-aided diagnosis of skin lesions
- What this could lead to
- If successful, this AI tool could help primary care doctors diagnose skin conditions more accurately and reduce unnecessary specialist referrals.
- What could go wrong
- This is a small, completed study with only 9 doctors and 30 images, so results may not apply to real-world settings or larger 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
-
9 people
The number who actually took part.
- Started
-
Jun 2024
- Finished
-
Sep 2024
- Lead sponsor
-
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. The participant group includes: * Primary Care Practitioners: General practitioners who often serve as the first point of contact for patients with dermatological symptoms. * 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
-
18 years and older
- Sex
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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 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 physicians 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, 48001, Spain
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