Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults (AI-MEL)

German Cancer Research Center

Status

Enrolling

Conditions

Melanoma (Skin Cancer)

Pediatric Cancer

Artificial Intelligence (AI)

Study type

Observational

Funder types

Other

Identifiers

NCT06621810

MELCAYA-AI-MEL

Details and patient eligibility

About

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.

Enrollment

3,000 estimated patients

Sex

All

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Exclusion criteria