Testing a computer program for diagnosing basal cell skin cancer from tissue samples
Compares an artificial intelligence program with dermatopathologists in diagnosing basal cell carcinoma from tissue.
Plain-language title generated from the registry record
Registry title: AI in Histipathological Diagnosis of Bcc
Key facts
- Where
- Cairo, EgyptSee the site
Where in Egypt
- Al hussein universty hospitalCairo, EgyptNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Al-Azhar University
- Trial code
- NCT07786376
- Record updated
- 26 August 2026
- Original description
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 dermatopathologistsRead full original descriptionShow less
Evaluation of Artificial Intelligence Algorithms Performance in the Histopathological Diagnosis of Basal Cell Carcinoma
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
Inclusion: Histopathological slides diagnosed as BCC; Slides with adequate staining and preservation allowing clear visualization of dermatopathological features.
Exclusion: 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.