Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
Recruiting · NCT06621810 · Observational (researchers observe without assigning treatment) · Lead sponsor: German Cancer Research Center
View the official record on ClinicalTrials.gov →What this trial is 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.
Who can take part
Exclusion criteria
- Patients without a melanoma or nevus diagnosis
- images with insufficient image quality
Where it is running
3 locations listed.
- Hospital Clínic de Barcelona - Barcelona, Spain
- University of Florence - Florence, Italy
- University of Tübingen - Tübingen, Germany