MedTrace Logo

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

NCT06999499 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000

Last updated 2025-11-18

No results posted yet for this study

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.

Conditions

  • Naevi

Interventions

OTHER

Scanner of the whole body using the VECTRA 3D

Whole body image acquisition using the VECTRA 3D Whole Body 360 Imaging System to detect potential melanoma

Sponsors & Collaborators

  • Assistance Publique Hopitaux De Marseille

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-03-01
Primary Completion
2028-03-01
Completion
2028-06-01

Countries

  • France

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06999499 on ClinicalTrials.gov