Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
About this study
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.
- Condition
- Melanoma (Skin Cancer), Artificial Intelligence (AI), Pediatric Cancer
- Sponsor
- German Cancer Research Center
Who can join
- Age
- Not specified
- Sex
- All sexes
- Healthy volunteers
- Accepted
Inclusion 1
- Study condition: Melanoma (Skin Cancer), Artificial Intelligence (AI), Pediatric Cancer
Exclusion 2
- Patients without a melanoma or nevus diagnosis
- images with insufficient image quality
Where
3 sites, 1 recruiting
Hospital Clínic de Barcelona
Barcelona, Spain
University of Tübingen
Tübingen, Germany
University of Florence
Florence, Italy
Contact
-
Titus J Brinker, PD Dr. med
+49 15175084347 titus.brinker@nct-heidelberg.de
Potential match only. Final eligibility is determined by the study team.