NCT04060160

Acne Detection Software (AcneDect)

Acne Detection Software (AcneDect); AcneDect: a Software to Detect Acne Lesions

• Status: Terminated
• Phase: —
• Study type: Observational
• Enrollment: 25 (actual)
• Sponsor: University Hospital, Basel, Switzerland · Academic / Other
• Sex: All
• Age: 10 Years – 35 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Acne Lesions
• Acne Vulgaris

Interventions

Type	Name	Description
OTHER	Self- learning software that can detect acne lesions	Self- learning software that can detect acne lesions from patients who take a picture of their face every single day for 3 months with a secure mobile phone.
OTHER	Patient reported outcomes	Collection of patient reported outcomes and clinical data via a mobile electronic case report form

Timeline

• Start date: 2020-10-29
• Primary completion: 2024-09-30
• Completion: 2024-09-30
• First posted: 2019-08-16
• Last updated: 2025-01-15

Locations

1 site across 1 country: Switzerland