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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
Florence, ItalySee the site

Where in Italy

  • University of FlorenceFlorence, ItalyNo longer taking part

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?
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Trial 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.

ClinicalTrials.gov NCT06621810