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Skin Type Determination Using Image Artificial Intelligence

Recruitingn/aAges 18 Years - anyAllRegion Skane
NCT07765303 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

Skin color, how easily a person burns or tans in the sun (skin phototype), and the amount of chronic sun damage in the skin are important factors in skin health. These characteristics influence a person's risk of skin cancer, how skin diseases appear, how well treatments work, and how accurately doctors and artificial intelligence (AI) systems can diagnose skin conditions. However, current methods for classifying these characteristics are often imprecise and rely heavily on subjective assessments. As a result, both healthcare professionals and patients may incorrectly classify skin type, which can lead to inaccurate risk assessments and less personalized care. This study aims to develop and validate AI algorithms that can accurately classify skin pigmentation, skin phototype, and accumulated sun damage using photographs of the skin. Unlike existing approaches, the study combines several

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📋 Eligibility rules (as published)
Inclusion Criteria: * Aged 18 years or older * Able and willing to provide informed consent (oral or written, according to local regulations) * Willing to complete the study questionnaire * Willing to undergo non-invasive skin imaging and skin characteristic assessments of predefined sites on the upper arm and forearm Exclusion Criteria: * Younger than 18 years of age * Unable to provide informed consent * Unable to complete study procedures * Tattoos, prominent scars, wounds, skin lesions, dressings, or other identifiable features at the predefined imaging sites that may interfere with image acquisition, assessment quality, or participant anonymity
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What it tests

  • Skin imaging and skin characteristic assessment
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Where

13 sites
University of Queensland
Brisbane, Australia
Hospital de Clínicas de Porto Alegre
Porto Alegre, Brazil
Clinica Universidad de los Andes
Santiago, Chile
Hospital Clínico Universidad de Chile
Santiago, Chile
Xiangya Hospital, Central South University
Changsha, China
Department of Dermatology, Odense University Hospital
Odense, Denmark
Queen Elisabeth Central Hospital
Blantyre, Malawi
Erasmus
Rotterdam, Netherlands

…and 5 more on ClinicalTrials.gov.

🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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