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AI-Based Risk Classification and Histopathological Subtype Prediction of Basal Cell Carcinoma Using Dermoscopic Images

Study acronym: BCC-AI
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
This retrospective observational study aims to develop and evaluate a convolutional neural network (CNN)-based artificial intelligence model for risk classification and histopathological subtype prediction of basal cell carcinoma (BCC) using clinical and dermoscopic images. Histopathologically confirmed BCC cases from a dermatology archive will be included. The primary objective is to assess the diagnostic performance of the CNN model in classifying BCC as low-risk or high-risk. Secondary objectives include predicting histopathological subtypes and comparing the model's performance with that of dermatology physicians. Histopathological diagnosis will serve as the reference standard. All archived data will be anonymized before analysis.
Trial Details
NCT Number NCT07677124
Lead Sponsor Istanbul Training and Research Hospital
Conditions
(from sponsor)		 Basal Cell Carcinoma
Related terms Basal Cell Carcinoma, Skin Neoplasms
Enrollment 2,500 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov