AI in SK Histopathological Diagnosis
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorAl-Azhar University
About this trial
The aim of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of Seborrheic keratosis compared to Certified Dermatopathologists.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Histopathological slides diagnosed as Seborrheic keratosis.
Slides with adequate staining and preservation allowing clear visualization of histopathological 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
Seborrheic keratosis H\&E stained glass slides from the pathology archive of Al-hussein dermatopathology unit.
Trial design
Design model
Other
Time perspective
Retrospective
Treatments tested in this trial
This study doesn't include an intervention.
Other interventionThis study doesn't include an intervention.
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
The accuracy of the artificial intelligence algorithm in histopathological diagnosis of seborrheic keratosis evaluated mainly by sensitivity and specificity.
Time frame
1 yearSponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: