AI in Histipathological Diagnosis of Bcc
ConditionBasal Cell Cancer
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorAl-Azhar University
About this trial
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 criteria
This trial accepts healthy volunteersQualifiers
Histopathological slides diagnosed as BCC.
Slides with adequate staining and preservation allowing clear visualization of dermatopathological features.
Disqualifiers
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.
Trial population
H\&E stained glass slides of bcc cases will be collected from the pathology archive of Al-hussein dermatopathology unit .
Trial design
Design model
Other
Time perspective
Retrospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
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.
Time frame
one yearSponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: