Artificial Intelligence, Obstetricians, and Midwives in Non-Stress Test Interpretation
Diagnostic Accuracy of Artificial Intelligence, Obstetricians, and Midwives in Non-Stress Test Interpretation: A Prospective Comparative Study
This prospective observational study aims to evaluate and compare the interpretation of antenatal non-stress tests (NSTs) by three artificial intelligence models, three obstetricians, and three midwives.
A total of 300 NST recordings obtained during routine antenatal care will be collected and prepared in PDF format. The recordings will be distributed to the evaluators, who will independently assess NST reactivity and recommend appropriate clinical management within two weeks.
Two perinatologists will independently evaluate the NST recordings to establish the reference standard. In cases of disagreement, a third perinatologist will be consulted to determine the final reference assessment.
The study will compare the diagnostic performance, agreement with the reference standard, and inter-rater agreement among artificial intelligence models, obstetricians, and midwives.
研究概览
研究类型
注册 (估计的)
联系人和位置
学习联系方式
- 姓名：Ahmet Demirci, MD
- 电话号码：+905418807091
- 邮箱：ahmet.demirci@bilecik.edu.tr
学习地点
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Bilecik
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Bilecik、Bilecik、土耳其（türkiye）、1000
- 招聘中
- Bilecik Training and Research Hospital
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接触：
- Ahmet Demirci, MD
- 电话号码：+905418807091
- 邮箱：ahmet.demirci@bilecik.edu.tr
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
Pregnant women undergoing antenatal non-stress testing (NST) at the study center will constitute the study population. A total of 300 NST recordings will be collected and independently evaluated by three artificial intelligence models, three obstetricians, and three midwives. Two perinatologists will independently assess the recordings to establish the reference standard. In cases of disagreement, a third perinatologist will be consulted to determine the final reference assessment.
描述
Inclusion Criteria:
- Gestational age of 34+0 weeks or greater
- Singleton pregnancy undergoing routine antenatal follow-up
- Availability of an interpretable NST recording with a minimum duration of 20 minutes
- Complete clinical and demographic data
- Provision of written informed consent
Exclusion Criteria:
- Multiple pregnancy
- Major fetal congenital anomaly
- Technically uninterpretable NST recording
- NST recording shorter than 20 minutes
- Incomplete clinical data
- Refusal to participate
学习计划
研究是如何设计的？
设计细节
- 观测模型：COHORT
- 时间观点：PROSPECTIVE
队列和干预
团体/队列 |
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Pregnant Women Undergoing Non-Stress Testing
Pregnant women undergoing non-stress testing (NST) as part of routine antenatal care. The NST recordings will be independently evaluated by artificial intelligence models, obstetricians, and midwives, and their assessments will be compared with the reference evaluation. |
研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Agreement in Non-Stress Test Classification
大体时间：Within 2 weeks after distribution of the 300 NST recordings to the evaluators.
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Agreement between artificial intelligence models, obstetricians, and midwives in classifying non-stress tests (NSTs) as reactive or non-reactive will be assessed against a reference standard established by two independent perinatologists. In cases of disagreement, a third perinatologist will be consulted to determine the final reference classification. Inter-rater agreement among the evaluator groups will also be assessed. |
Within 2 weeks after distribution of the 300 NST recordings to the evaluators.
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Agreement in Recommended Clinical Management
大体时间：Within 2 weeks after distribution of the 300 NST recordings to the evaluators.
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Agreement between artificial intelligence models, obstetricians, and midwives regarding recommended clinical management following NST interpretation will be assessed against a reference standard established by two independent perinatologists. Disagreements will be resolved through consultation with a third perinatologist. |
Within 2 weeks after distribution of the 300 NST recordings to the evaluators.
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合作者和调查者
调查人员
- 首席研究员：Ahmet Demirci, MD、Bilecik Training and Research Hospital
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (估计的)
研究完成 (估计的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.