Acne Detection Software (AcneDect)

University Hospital Basel

Status

Terminated

Conditions

Acne Lesions

Acne Vulgaris

Treatments

Other: Patient reported outcomes

Other: Self- learning software that can detect acne lesions

Study type

Observational

Funder types

Other

Identifiers

NCT04060160

2018-00702 sp19Navarini;

Details and patient eligibility

About

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.

Enrollment

25 patients

Sex

All

Ages

10 to 35 years old

Volunteers

No Healthy Volunteers

Inclusion criteria