NCT06999499

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

Development of Artificial Intelligence Algorithms to Help Detect Potential Melanomas, Using Images From the VECTRA 3D Whole Body 360 Imaging System, a 3D Whole-body Skin Scanner.

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,000 (estimated)
• Sponsor: Assistance Publique Hopitaux De Marseille · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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

Type	Name	Description
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

Timeline

• Start date: 2026-03-01
• Primary completion: 2028-03-01
• Completion: 2028-06-01
• First posted: 2025-05-31
• Last updated: 2025-11-18

Locations

1 site across 1 country: France