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临床试验/NCT07661433
NCT07661433招募中不适用

Z 32503 - Prospective Evaluation of an AI Diagnostic Ultrasound Tool for Fetal Weight Estimation

University of North Carolina, Chapel Hill5 个研究点 分布在 4 个国家目标入组 1,000 人开始时间: 2026年6月29日最近更新:
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
1,000
试验地点
5

研究概览

简要总结

Purpose: The primary objective of this study is to assess the diagnostic accuracy of an AI-enabled ultrasound tool for estimating fetal weight Participants: 1,000 pregnant individuals Procedures (methods): This prospective diagnostic accuracy study will enroll 1,000 pregnant individuals within one week of anticipated delivery. At a single visit, each participant will undergo two ultrasound assessments: (1) standardized sweeps for AI analysis (performed by both specialist and nonspecialist users), (2) specialist-performed fetal biometry.

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

入选标准

  • 18 years of age or older
  • Viable intrauterine pregnancy
  • Delivery expected within one week of study procedures between 24 0/7 and 42 6/7 weeks, including participants with a scheduled induction or cesarean delivery on a known date, or those admitted in spontaneous labor
  • Ability and willingness to provide written informed consent
  • Willingness to comply with all study procedures

排除标准

  • Maternal body mass index ≥ 40 kg/m^2
  • Multiple gestation (i.e., twins or higher order)
  • Known major fetal malformation or anomaly
  • Any maternal condition (medical, psychological, or social) that, in the opinion of the study team, may interfere with study participation or data integrity.

研究组 & 干预措施

Pregnant Women within One Week of Delivery

Participants receive a standardized ultrasound sweep protocol and specialist-performed fetal biometry.

干预措施: AI ultrasound diagnostic tool for fetal weight estimation (Diagnostic Test)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (5)

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