Correlation of Dermatologist Made Biopsy Decisions With Artificial Intelligence (AI) Assisted Total Body Photography Detection of Outlier Lesions
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 23
- 试验地点
- 1
- 主要终点
- Dermatologist made biopsy decision compared to AI outlier lesions
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Males and females participants in overall good health ages 18 to 85 who have skin lesions
排除标准
- •Those who are under 18 or over 85
结局指标
主要结局
Dermatologist made biopsy decision compared to AI outlier lesions
时间窗: Three months
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.
次要结局
未报告次要终点