Not provided
Not provided
Not provided
Not provided
Not provided
After careful consideration and review of the data, the study team has determined that it is in the best interest of all parties involved to conclude the study at this juncture.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Self- learning software that can detect acne lesions | Other | 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. | ||
| Patient reported outcomes | Other | Collection of patient reported outcomes and clinical data via a mobile electronic case report form |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Patients within the consultation service of Dermatologische Klinik, Universitätsspital Basel, that meet the inclusion criteria
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Alexander A. Navarini, Prof. Dr. MD | Dermatologische Klinik; Universitätshospital Basel | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Dermatology, University Hospital Basel | Basel | 4031 | Switzerland |
Not provided
| ID | Term |
|---|---|
| D000152 | Acne Vulgaris |
| ID | Term |
|---|---|
| D017486 | Acneiform Eruptions |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D012625 | Sebaceous Gland Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| D000071066 | Patient Reported Outcome Measures |
| ID | Term |
|---|---|
| D019538 | Health Care Surveys |
| D011795 | Surveys and Questionnaires |
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
Not provided
Not provided
Not provided
Not provided
Not provided
| D008919 |
| Investigative Techniques |
| D006302 | Health Services Research |
| D006285 | Health Planning |
| D004472 | Health Care Economics and Organizations |
| D063868 | Patient Outcome Assessment |
| D017063 | Outcome Assessment, Health Care |
| D010043 | Outcome and Process Assessment, Health Care |
| D011787 | Quality of Health Care |
| D006298 | Health Services Administration |
| D017530 | Health Care Quality, Access, and Evaluation |
| D017531 | Health Care Evaluation Mechanisms |
| D011634 | Public Health |
| D004778 | Environment and Public Health |