Using 3D whole-body skin scans to help spot possible skin cancers
Tests a 3D whole-body scanner and AI to help find moles that may be melanoma.
Plain-language title generated from the registry record
Registry title: Development of an Aid to Melanoma Detection Using Artificial Intelligence Algorithms Based on Images From the VECTRA 3D System.
Key facts
- Where
- Marseille, FranceSee the site
Where in France
- Hôpital de la ConceptionMarseille, FranceNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Assistance Publique Hopitaux De Marseille
- Trial code
- NCT06999499
- Record updated
- 28 October 2026
- Original description
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.Read full original descriptionShow less
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.
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.
Inclusion: Male or female aged 18 and over; Patient with more than 15 nevi (moles) of various phototypes (I to III); Patient who has received information about the study and has not expressed any opposition; Patient who is a beneficiary or entitled person under a social security scheme.
Exclusion: Patients with chronic inflammatory skin diseases; Patients with phototype V; Claustrophobic patients; Patients who are bedridden or handicapped; Patients who are excluded from another research protocol at the time of collection of the non-objection; Patients covered by articles L1121-5 to 1121-8 of the French Public Health Code (minors, adults under guardianship or trusteeship, patients deprived of their liberty, pregnant or breast-feeding women),; Any other reason which, in the investigator's opinion, could interfere with the evaluation of the research objectives.