Artificial Intelligence, Obstetricians, and Midwives in Non-Stress Test Interpretation

October 31, 2026 updated by: Ahmet Demirci, Bilecik Seyh Edebali Universitesi

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.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 45 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

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.

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: COHORT
  • Time Perspectives: PROSPECTIVE

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Agreement in Non-Stress Test Classification
Time Frame: Within 2 weeks after distribution of the 300 NST recordings to the evaluators.

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.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Agreement in Recommended Clinical Management
Time Frame: Within 2 weeks after distribution of the 300 NST recordings to the evaluators.

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.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Ahmet Demirci, MD, Bilecik Training and Research Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 1, 2026

Primary Completion (Estimated)

November 15, 2026

Study Completion (Estimated)

November 15, 2026

Study Registration Dates

First Submitted

October 22, 2026

First Submitted That Met QC Criteria

October 31, 2026

First Posted (Actual)

November 4, 2026

Study Record Updates

Last Update Posted (Actual)

November 4, 2026

Last Update Submitted That Met QC Criteria

October 31, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • NST-AI-2026-01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will not be shared due to participant confidentiality and data protection considerations.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.