NCT04060160终止不适用
Acne Detection Software (AcneDect); AcneDect: a Software to Detect Acne Lesions
University Hospital, Basel, Switzerland1 个研究点 分布在 1 个国家目标入组 25 人开始时间: 2020年10月29日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 发起方
- 入组人数
- 25
- 试验地点
- 1
- 主要终点
- Pictures to train the AcneDect software
研究概览
简要总结
This study is to create a self-learning software that can detect acne lesions. Patients take a picture of their face every single day for 3 months with a secure mobile phone and fill out a pre-designed questionnaire. After 3 months, the mobile will be collected back and the pictures will be evaluated by 3 dermatologists. The software is able to learn from the dermatologists' evaluation and -using machine learning- a mechanism that should be able to automatically detect acne to some extent will be established.
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
- 10 Years 至 35 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Acne vulgaris
排除标准
- •Refusal to participate
结局指标
主要结局
Pictures to train the AcneDect software
时间窗: every single day from baseline for 3 months
Collection of pictures to train the AcneDect software to detect change in acne lesions
次要结局
- AcneDect questionnaire regarding acne burden (Visual Analogue Scale (VAS) scale ranging from "Not bad at all" to "Very bad")(every single day from baseline for 3 months)
研究者
研究点 (1)
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