AI-Powered microscope could diagnose skin cancer in minutes
NCT ID NCT07682831
First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time
Summary
This study tests whether a machine learning model can accurately diagnose two common types of skin cancer—basal cell carcinoma and squamous cell carcinoma—by analyzing images from a special microscope (two-photon microscopy) that scans skin biopsy samples. The goal is to see if this technology can provide a fast, point-of-care diagnosis that matches the results of standard lab analysis. The study involves 92 adults who are having a skin biopsy for suspected non-melanoma skin cancer.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Two-photon microscopy imaging device
- What this could lead to
- If successful, this approach could allow doctors to diagnose common skin cancers like basal cell and squamous cell carcinoma quickly and accurately during a clinic visit, without waiting for lab results.
- What could go wrong
- This is an early-stage study testing a new imaging and AI method. The machine learning model may not yet match the accuracy of standard pathology, and the technology may not be practical for widespread clinic use.
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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Rochester Dermatologic Surgery
Victor, New York, 14654, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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