Correlation of Dermatologist Made Biopsy Decision With AI Assisted Total Body Photography Detection of Outlier Lesions

Halcyon Dermatology

Status: Completed

Conditions: Skin Lesion

Treatments: Device: SkinIO

Study type: Observational

Funder types: Other

Identifiers

NCT05940090

Halc-1-ai

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 23 patients

Sex: All

Ages: 18 to 85 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

23 participants in 1 patient group

Comparison of outlier analysis with dermatologist made biopsy decisions

Description:

Skin lesions recommended for skin biopsy by the dermatologist will be compared to lesions highlighted by the application outlier analysis.

Treatment:

Device: SkinIO