Acne Detection Software (AcneDect)
Sponsor
University Hospital, Basel, Switzerland (Other)
Overall Status
Recruiting
CT.gov ID
NCT04060160
Collaborator
(none)
40
1
25.1
1.6
Study Details
Study Description
Brief Summary
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
Study Design
Study Type:
Observational
Anticipated Enrollment
:
40 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Acne Detection Software (AcneDect); AcneDect: a Software to Detect Acne Lesions
Actual Study Start Date
:
Oct 29, 2020
Anticipated Primary Completion Date
:
Dec 1, 2022
Anticipated Study Completion Date
:
Dec 1, 2022
Outcome Measures
Primary Outcome Measures
- Pictures to train the AcneDect software [every single day from baseline for 3 months]
Collection of pictures to train the AcneDect software to detect change in acne lesions
Secondary Outcome Measures
- AcneDect questionnaire regarding acne burden (Visual Analogue Scale (VAS) scale ranging from "Not bad at all" to "Very bad") [every single day from baseline for 3 months]
Collection of patient reported outcomes via a mobile electronic case report form
Eligibility Criteria
Criteria
Ages Eligible for Study:
10 Years
to 35 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
- Acne vulgaris
Exclusion Criteria:
- Refusal to participate
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Department of Dermatology, University Hospital Basel | Basel | Switzerland | 4031 |
Sponsors and Collaborators
- University Hospital, Basel, Switzerland
Investigators
- Principal Investigator: Alexander A. Navarini, Prof. Dr. MD, Dermatologische Klinik; Universitätshospital Basel
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.Responsible Party:
University Hospital, Basel, Switzerland
ClinicalTrials.gov Identifier:
NCT04060160
Other Study ID Numbers:
- 2018-00702; sp19Navarini
First Posted:
Aug 16, 2019
Last Update Posted:
Apr 12, 2022
Last Verified:
Apr 1, 2022
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by University Hospital, Basel, Switzerland
Additional relevant MeSH terms: