OncoMatch

OncoMatch/Clinical Trials/NCT07677124

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

Is NCT07677124 recruiting? Yes, currently enrolling (Jul 2026).

RecruitingIstanbul Training and Research HospitalNCT07677124Data as of Jul 2026Location: Turkey (Türkiye)

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.

Check if I qualify

Extracted eligibility criteria

Cancer type

Tumor Agnostic

Demographics

Ages 0–100

Structured fields extracted by AI. May contain errors — verify against the official protocol.

Frequently asked questions

Is NCT07677124 currently recruiting?

Yes, this trial is currently recruiting patients.

Is there an age limit?

Yes. Patients must be 100 years or younger and at least 0 years old.

Could you qualify for this trial?

Enter your biomarker results to see how this trial's eligibility criteria match your specific cancer profile.

Check if I qualify