Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
NCT ID: NCT06621810
Last Updated: 2024-10-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
3000 participants
OBSERVATIONAL
2022-12-01
2026-11-30
Brief Summary
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* 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.
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
OTHER
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* images with insufficient image quality
ALL
Yes
Sponsors
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Universität Tübingen
OTHER
University of Florence
OTHER
Fundacio Clinic Barcelona
OTHER
Hospital Clinic of Barcelona
OTHER
German Cancer Research Center
OTHER
Responsible Party
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Principal Investigators
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Titus J Brinker, PD Dr. med
Role: PRINCIPAL_INVESTIGATOR
German Cancer Research Center
Locations
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University of Tübingen
Tübingen, , Germany
University of Florence
Florence, , Italy
Hospital Clínic de Barcelona
Barcelona, , Spain
Countries
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Central Contacts
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Facility Contacts
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Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Related Links
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Homepage of the MELCAYA project
Other Identifiers
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MELCAYA-AI-MEL
Identifier Type: -
Identifier Source: org_study_id
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