Acne Vulgaris Clinical Trial
— AcneDectOfficial title:
Acne Detection Software (AcneDect); AcneDect: a Software to Detect Acne Lesions
This study is to create a self-learning software that can detect acne lesions. Patients take a picture of their face every single day for 3 months with a secure mobile phone and fill out a pre-designed questionnaire. After 3 months, the mobile will be collected back and the pictures will be evaluated by 3 dermatologists. The software is able to learn from the dermatologists' evaluation and -using machine learning- a mechanism that should be able to automatically detect acne to some extent will be established.
Status | Recruiting |
Enrollment | 40 |
Est. completion date | December 2022 |
Est. primary completion date | December 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 10 Years to 35 Years |
Eligibility | Inclusion Criteria: - Acne vulgaris Exclusion Criteria: - Refusal to participate |
Country | Name | City | State |
---|---|---|---|
Switzerland | Department of Dermatology, University Hospital Basel | Basel |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Basel, Switzerland |
Switzerland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Pictures to train the AcneDect software | Collection of pictures to train the AcneDect software to detect change in acne lesions | every single day from baseline for 3 months | |
Secondary | AcneDect questionnaire regarding acne burden (Visual Analogue Scale (VAS) scale ranging from "Not bad at all" to "Very bad") | Collection of patient reported outcomes via a mobile electronic case report form | every single day from baseline for 3 months |
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