NCT07598097招募中不适用
The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice: A Prospective Observational Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 2,000
- 试验地点
- 1
研究概览
简要总结
This study prospectively evaluates whether the performance of an already-developed artificial intelligence (AI) model for predicting spontaneous preterm birth changes when cervical ultrasound images are obtained using different ultrasound image settings.
The primary research question is whether the AI model performs differently across images acquired with different imaging settings.
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 —（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •Pregnant women aged ≥18 years
- •Attending routine second-trimester scan (and scheduled transvaginal cervical assessment per local protocol/workflow)
排除标准
- •Absence of transvaginal cervical assessment at the second-trimester scan
- •Missing follow-up data on pregnancy outcome (gestational age at delivery)
- •Inadequate image quality or missing required cervical ultrasound image
研究者
Emilie Pi Fogtmann Sejer
Principal Investigator
Rigshospitalet, Denmark
研究点 (1)
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