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This research study will determine how a smart phone application (app) for total body photography outlier analysis compares to a dermatologist's decision to biopsy skin lesions.
Informed written consent will be obtained by all study subjects. Each participant will be asked to generate a unique identifier, so their demographic data, medical intake, and study assessments can be stored without any patient identifiers. The unique identifier is the participant's 2-digit day of birth, first 3 initials of their mother's maiden name, and the 4 digits of their birth year. All clinical data will be entered into a de- identified database.
Demographic information including age, gender, ethnicity, collected via medical intake survey at the initial visit. Data from the survey will be associated only with the patient's unique identifiers.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Comparison of outlier analysis with dermatologist made biopsy decisions | Skin lesions recommended for skin biopsy by the dermatologist will be compared to lesions highlighted by the application outlier analysis. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| SkinIO | Device | The device is simply an application that photographs skin lesions and identifies lesions that may require further examination |
|
| Measure | Description | Time Frame |
|---|---|---|
| Dermatologist made biopsy decision compared to AI outlier lesions | Patient will undergo total body photography that marks outlier lesions. Without reviewing the photos, a dermatologist will make recommendations for which lesions should undergo skin biopsy. | Three months |
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Inclusion Criteria:
Exclusion Criteria:
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Males and females participants in overall good health ages 18 to 85 who have skin lesions
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Halcyon Dermatology | Laguna Hills | California | 92653 | United States |
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