Evaluation of XAI-assisted Spina Bifida Diagnosis
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 38
- 试验地点
- 1
- 主要终点
- Evaluation of XAI-assisted spina bifida diagnosis
研究概览
简要总结
The study aims to improve the accuracy of detecting spina bifida during early ultrasound scans. To achieve this, an AI model has been developed to provide feedback about the presence of spina bifida. A RCT has been designed to compare the effectiveness of AI feedback with no AI feedback.
详细描述
The study aims to improve the accuracy of detecting spina bifida during early ultrasound scans. To achieve this, an AI model has been developed to provide feedback about the presence of spina bifida. A randomized controlled trial (RCT) has been designed to compare the effectiveness of AI feedback with no AI feedback. Forty fetal medicine specialists are randomly assigned to receive either the AI feedback or no feedback, and the two groups are compared to determine if the feedback improved the accuracy of detecting spina bifida.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- Single (Investigator)
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Obstetricians
排除标准
- •Fetal medicine specialists
结局指标
主要结局
Evaluation of XAI-assisted spina bifida diagnosis
时间窗: One month after the survey is distributed.
The study aims to evaluate whether AI feedback improve the accuracy of diagnosing spina bifida by comparing the number of correct and incorrect responses in a task involving 20 images.
次要结局
未报告次要终点
研究者
Julie Leth-Petersen
Principal Investigator
Copenhagen Academy for Medical Education and Simulation