AI app aims to catch deadly skin cancer early in rare disease patients
NCT ID NCT05843994
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is developing an artificial intelligence app to detect squamous cell carcinoma (a type of skin cancer) in people with recessive dystrophic epidermolysis bullosa (RDEB), a rare genetic blistering condition. Twenty adults with RDEB and a history of skin cancer will submit photos of their skin through an online survey. The goal is to train the AI to recognize cancer from patient-taken photos, which could eventually lead to a home-use app for early detection.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- online survey and photograph submission
- What this could lead to
- If successful, this could lead to a home-use app that helps patients and doctors spot skin cancer early, improving outcomes.
- What could go wrong
- This is an early-stage study with only 20 participants, and the AI may not work as well on real-world photos as it does on professional images.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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Department of Dermatology, Northwestern University Feinberg School of Medicine and Lurie Children's Hospital
Chicago, Illinois, 60611, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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