AI could cut skin specialist wait times, study hints
NCT ID NCT06228014
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested an artificial intelligence algorithm designed to help primary care doctors decide whether a patient with a skin condition really needs to see a dermatologist. Researchers enrolled 200 adults with skin problems and had their doctors take photos of the affected areas. Dermatologists later reviewed the photos to see if the referrals were appropriate. The goal was to see if the AI could reduce unnecessary referrals, cut costs, and shorten waiting lists.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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200 people
The number who actually took part.
- Started
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Nov 2022
- Finished
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May 2025
- 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
Adult patients (≥ 18 years) with any kind of skin pathology seen in the primary care service of health centers referring to Cruces and Basurto University Hospitals.
- 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: * Patients with skin pathologies. * Patients aged 18 years or older. * Patients who have signed the informed consent for the study. Exclusion Criteria: * Patient who at the investigator\'s discretion will not comply with the study procedures.
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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
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University Hospital of Cruces
Barakaldo, Biscay, 48903, Spain
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Other studies related to the condition(s) this trial covers.
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