The goal of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of bcc compared to certified dermatopathologists
Eligibility
Sex
ALL
Min age
—
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria:
* Histopathological slides diagnosed as BCC.
* Slides with adequate staining and preservation allowing clear visualization of dermatopathological features.
Exclusion Criteria:
* Slides with poor staining quality or significant artifacts interfering with histopathological interpretation.
* Slides that were damaged, faded, or inadequately preserved.
* Cases with uncertain or inconclusive original diagnoses.
* Slides that could not be successfully digitized due to technical limitations ex very short or too long slides.
Primary outcome measure(s)
the diagnostic accuracy of the artificial intelligence algorithm, evaluated primarily by its sensitivity and specificity in correctly identifying basal cell carcinoma (BCC) from histopathological images. — one year
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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