AI-Driven Early Detection of Skin Cancer
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis
研究概览
简要总结
This study evaluates the feasibility and accuracy of an AI-powered mobile platform (NuvanaDx) for early detection of skin cancer, including melanoma, using smartphone-based imaging. The platform is designed to improve access to early diagnosis, reduce waiting times, and support triage into appropriate care pathways.
详细描述
The study will collect retrospective and prospective anonymized skin lesion images and metadata to validate the AI algorithm against dermatology-confirmed diagnoses. The aim is to determine sensitivity, specificity, and predictive value of the AI tool across diverse populations and skin tones. The study will also assess user experience, accessibility, and integration into clinical care pathways.
研究设计
- 研究类型
- Observational
- 观察模型
- Ecologic Or Community
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Months 至 —（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Adults (≥18 years) presenting with skin lesions suspicious for malignancy.
- •Ability to provide informed consent.
排除标准
- •Inability to provide informed consent.
- •Poor-quality images unsuitable for AI analysis.
结局指标
主要结局
Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis
时间窗: Time Frame: Up to 12 months
Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis Time Frame: Up to 12 months Measure: Sensitivity, specificity, and predictive values
次要结局
未报告次要终点