Skin Lesion Clinical Trial
Official title:
Correlation of Dermatologist Made Biopsy Decisions With Artificial Intelligence (AI) Assisted Total Body Photography Detection of Outlier Lesions
NCT number | NCT05940090 |
Other study ID # | Halc-1-ai |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | July 3, 2023 |
Est. completion date | October 8, 2023 |
Verified date | September 2023 |
Source | Halcyon Dermatology |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 23 |
Est. completion date | October 8, 2023 |
Est. primary completion date | October 1, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 85 Years |
Eligibility | Inclusion Criteria: - Males and females participants in overall good health ages 18 to 85 who have skin lesions Exclusion Criteria: - Those who are under 18 or over 85 |
Country | Name | City | State |
---|---|---|---|
United States | Halcyon Dermatology | Laguna Hills | California |
Lead Sponsor | Collaborator |
---|---|
Halcyon Dermatology |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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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