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临床试验/NCT05433519
NCT05433519已完成不适用

Z 32104 - Diagnostic Accuracy of a Novel Machine Learning Algorithm to Estimate Gestational Age

University of North Carolina, Chapel Hill2 个研究点 分布在 2 个国家目标入组 400 人开始时间: 2022年7月27日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
400
试验地点
2
主要终点
Diagnostic accuracy of FAMLI Technology

研究概览

简要总结

This is a prospective cohort study of women enrolled early in pregnancy, with randomization to determine the timing of three follow-up visits in the second and third trimester. At each of these follow-up visits, investigators will assess gestational age with the FAMLI technology and compare that estimate to the known gestational age established early in pregnancy.

详细描述

The primary purpose of this research is to assess the diagnostic accuracy of the FAMLI Technology, a novel machine learning-based tool for gestational age assessment that can run on a smart phone or tablet. Study staff will enroll 400 pregnant volunteers prior to 14 completed gestational weeks and obtain accurate "ground truth" gestational age dating with standard ultrasound biometry, using the crown-rump length. These participants will then be asked to return for three follow-up visits, which will include a routine sonogram performed by a trained sonographer and the collection of a set of blind sweep cineloop videos using a low-cost, battery-operated device. The research will be conducted in Chapel Hill, North Carolina (at the University of North Carolina Hospital and/or sites associated with UNC OBGYN) and in Lusaka, Zambia (at the University Teaching Hospital or Kamwala District Health Centre). Approximately equal numbers of participants will be enrolled from each country.

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 59 Years(Adult)
性别
Female
接受健康志愿者

入选标准

  • 18 years of age or older
  • viable intrauterine pregnancy at less than 14 0/7 weeks of gestation
  • ability and willingness to provide written informed consent
  • intent to remain in current geographical area of residence for the duration of study
  • willingness to adhere to study procedures
  • Exclusion criteria:
  • maternal body mass index = 40 kg/m^2
  • multiple gestation (i.e., twins or higher order)
  • major fetal malformation or anomaly
  • any other condition (social or medical) that, in the opinion of the study staff, would make study participation unsafe or complicate data interpretation.

排除标准

  • 未提供

结局指标

主要结局

Diagnostic accuracy of FAMLI Technology

时间窗: From 14 through 27 completed weeks of gestation

Difference in mean absolute error (MAE) of the index test and clinical reference standard in the primary evaluation window

次要结局

  • Mean absolute error in the secondary evaluation window(From 28 through 36 completed weeks of gestation)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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