AI reads skin lesions to predict cancer aggressiveness

NCT ID NCT07677124

Recruiting now Knowledge-focused Sponsor: Istanbul Training and Research Hospital Source: ClinicalTrials.gov ↗

First seen Jun 30, 2026 · Last updated Jul 01, 2026 · Updated 1 time

Summary

This study tests whether an artificial intelligence (AI) model can accurately classify basal cell carcinoma (a common skin cancer) as low-risk or high-risk using dermoscopic images. Researchers will also see if the AI can predict specific subtypes of the cancer. The model's performance will be compared to diagnoses made by dermatologists. The study uses existing data from patients with confirmed basal cell carcinoma.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this AI model could help doctors quickly identify high-risk skin cancers from images, potentially speeding up treatment decisions.
What could go wrong: This is a retrospective study using existing images, so the AI may not perform as well in real-world settings. It is not a treatment and does not directly benefit participants.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

basal cell carcinoma skin neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BASAL CELL CARCINOMA

Contacts and locations

Locations

Istanbul Training and Research Hospital
RECRUITING

Istanbul, Istanbul, 34000, Turkey (Türkiye)

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