Assessment of AI Performance for the Detection of Bone Fractures in Children Aged Less Than 2 Years Old in Suspected Child Abuse Setting.
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 210
- 试验地点
- 1
- 主要终点
- Percentage of fracture detected by AI on radiographs
研究概览
简要总结
The artificial intelligence (AI) software BoneView (GLEAMER Company, Paris, France) has been designed, tested and validated to detect and locate recent or semi-recent fractures on standard radiographs.
The objective will be to assess the AI performance for the detection of bone fractures in children aged less than 2 years old in suspected child abuse setting.
These patients benefit from a whole body radiography with a double blind reading by a "generalist" radiologist and a radiologist with expertise in child abuse. This readings will be compared with the AI results.
Hypothesis is that AI is effective for child fractures detection and could be of help especially for radiologists who are not experts in child abuse.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 0 Years 至 2 Years（Child）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Percentage of fracture detected by AI on radiographs
时间窗: 1 day
Percentage of fracture detected by AI on radiographs
次要结局
未报告次要终点