Acne, Melasma, Rosacea, Seborrheic Dermatitis
Conditions
Keywords
Artificial Intelligent, Skin
Brief summary
The study is conducted to determine if image-based computer grading can of acne, melasma, rosacea and seborrheic dermatitis correlate well to expert based clinical severity grading.
Detailed description
The study is conducted to determine if image-based computer grading can of acne, melasma, rosacea and seborrheic dermatitis correlate well to dermatologist based clinical severity grading.
Interventions
OTHERNo Intervention
No Intervention
Sponsors
Codex Labs
Integrative Skin Science and Research
Study design
Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Adults with acne, rosacea, melasma or seborrheic dermatitis
Exclusion criteria
* Prisoners * Adults unable to consent * Artificial facial markings on day of facial photography (such as piercings and tattoos) that may interfere with imaging in the opinion of the investigator
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation of image-based grading to clinical gradings for acne | Baseline | Number of inflammatory and noninflammatory lesions compared to clinical grading |
| Correlation of image-based grading to clinical gradings for rosacea | Baseline | Inflammatory lesion count compared to clinical grading |
| Correlation of image-based grading to clinical gradings for melasma | Baseline | Melasma area severity index image based grading compared to clinical grading |
| Correlation of image-based grading to clinical gradings for seborrheic dermatitis | Baseline | Seborrheic dermatitis area severity index |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sebum excretion rate | Baseline | Measure of skin sebum via sebumeter |
Countries
United States
Contacts
Primary ContactRaja Sivamani, MD, MS, AP
Outcome results
None listed