AI Tool Analyzes Skin Images to Detect Melanoma in Young People
Tests artificial intelligence on skin images to spot melanoma in people under 30.
Plain-language title generated from the registry record
Registry title: Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
Key facts
- Where
- Barcelona, SpainSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for people with a melanoma or a nevus (mole) diagnosis, especially younger people. Their routine skin images are used to build AI tools.
- Age
- The record gives no age range. The study aims at younger patients, below the age of 30.
- Sex
- All sexes can join.
- Disease stage
- A diagnosis of melanoma or nevus (mole).
Main reasons for not taking part
- Patients without a melanoma or nevus diagnosis
- Images with insufficient image quality
Read by machine on 12 November 2026.
Where in Spain
- Hospital Clinic de BarcelonaBarcelona, SpainContact: Susana PuigTaking people
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?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- German Cancer Research Center
- Trial code
- NCT06621810
- Record updated
- 1 October 2024
- Original description
The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30). The main goals it aims to achieve are:Read full original descriptionShow less
AI-MEL: Image Analysis and Machine Learning for Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30). The main goals it aims to achieve are:
* development of an algorithm based on dermatoscopic images, targeting skin cancer screening in vulnerable populations * development of another algorithm based on histological images, intended to be used by pathologists on lesions that are still suspicious of melanoma after dermatologic assessment * implementation of explainability methods to enable the user to better comprehend the systems' decisions, avoid biases and increase trust in these applications
There is no additional time commitment for the study participants for this study, as the data used in this project will be collected in routine clinical practice anyway.
Inclusion: -.
Exclusion: Patients without a melanoma or nevus diagnosis; images with insufficient image quality.