Clinical Trial

Development of an Aid to Melanoma Detection Using Artificial Intelligence Algorithms Based on Images From the VECTRA 3D System.

Study acronym: SELF DETECT
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Summary
The background to this research is that frequent medical screening of the general population for melanoma is not feasible. The real challenge of this project is to develop an automatic process for detecting any potential melanoma. To this end, the project aims to design an algorithm to build a novel diagnostic aid that makes use of the similarity and disparity of pigmented lesions in the same patient. To achieve this, we need to obtain and structure a large database of images grouping all pigmented lesions per patient according to their similarities as perceived by dermatologists.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-05-30.
Trial Details
NCT Number NCT06999499
Lead Sponsor Assistance Publique Hopitaux De Marseille
Conditions Naevi
Enrollment 1,000 participants
Start Date 2026-03-01
Primary Completion 2028-03-01 (estimated)
Study Completion 2028-06-01 (estimated)
Updated on ClinicalTrials.gov 2025-11-18