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NCT07787481
AI in SK Histopathological Diagnosis
Conditions: Seborrheic Keratoses, Artifical Intelligence
Sex: All
Healthy volunteers: No
Enrollment: 30
Sponsor: Al-Azhar University
Location: Faculty of medicine, Al-Azhar University boys branch in Cairo Cairo
Summary
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
Inclusion Criteria:
1. Histopathological slides diagnosed as Seborrheic keratosis.
2. Slides with adequate staining and preservation allowing clear visualization of histopathological features.
Exclusion Criteria:
1. Slides with poor staining quality or significant artifacts interfering with histopathological interpretation.
2. Slides that were damaged, faded, or inadequately preserved.
3. Cases with uncertain or inconclusive original diagnoses.
4. Slides that could not be successfully digitized due to technical limitations ex: very short or too long slides.
Source: ClinicalTrials.gov (NCT07787481). StuddyBuddy aggregates publicly available trial information.