AI, obstetricians, and midwives compare non-stress test readings
Official title: Diagnostic Accuracy of Artificial Intelligence, Obstetricians, and Midwives in Non-Stress Test Interpretation: A Prospective Comparative Study
Run by Bilecik Seyh Edebali Universitesi · NCT07916090 · Data updated 2026-11-12
This study tests three AI models, three obstetricians, and three midwives to see how they interpret antenatal non-stress tests for fetal well-being.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 45 Years |
| Sex | Women only |
| Enrollment | 300 (estimated) |
| Sponsor | Bilecik Seyh Edebali Universitesi Academic / other |
| Locations | 1 site (Bilecik, Bilecik) |
| Status | Recruiting |
| Started | August 1, 2026 |
| Main results expected | November 15, 2026 |
| Study ends | November 15, 2026 |
| Registry record updated | November 4, 2026 |
| Trial ID | NCT07916090 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Pregnant individuals at 34 weeks gestation or later with singleton pregnancies undergoing routine antenatal care and an interpretable NST lasting at least 20 minutes.
✕Probably not a fit
Participants with multiple pregnancies, major fetal anomalies, or NST recordings that are not interpretable may not benefit from the study outcomes.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This prospective observational study collects 300 NST recordings from routine antenatal care. Each recording is evaluated independently by three artificial intelligence models, three obstetricians, and three midwives to determine NST reactivity and recommended management within two weeks. Two perinatologists establish a reference standard, with a third resolving disagreements. The study will compare diagnostic performance, agreement with the reference, and inter-rater reliability among AI, obstetricians, and midwives.
Why it matters
Potential benefit: If successful, AI-assisted NST interpretation could help standardize assessments and support clinicians in fetal well-being decisions.
How similar studies have gone: Prior work in related imaging and monitoring tasks has shown that AI can reach performance comparable to clinicians in certain contexts, but direct NST interpretation studies are relatively limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
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
Where it's running
-
Bilecik Training and Research Hospital
Bilecik, Bilecik, Turkey (Türkiye) Recruiting
Study contacts
- Principal investigator: Ahmet Demirci, MD — Bilecik Training and Research Hospital
- Study coordinator: Ahmet Demirci, MD
- Email: ahmet.demirci@bilecik.edu.tr
- Phone: +905418807091
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.