RecruitingNot ApplicableNCT07430358

Obstetric Risk Assessment & Cesarean-delivery in Labor Estimation Using Artificial Intelligence

Obstetric Risk Assessment & Cesarean-delivery in Labor Estimation Using Artificial Intelligence Trial (ORACLE-AI)


Sponsor

Hadassah Medical Organization

Enrollment

400 participants

Start Date

May 19, 2026

Study Type

INTERVENTIONAL

Conditions

Summary

ORACLE-AI is a single-center, open-label, randomized clinical trial comparing primiparous women managed with a real-time machine-learning dashboard against a concurrent control group receiving standard intrapartum care. Participants are randomized 1:1 at the onset of labor. The intervention group has the AI dashboard visible in their electronic health record, while the control group does not. The primary hypothesis is that the use of continuous AI-based risk estimates will be non-inferior to standard care in terms of unplanned cesarean\–delivery rates (uCD), with potential secondary benefits in maternal and neonatal outcomes.


Eligibility

Sex: FEMALEMin Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called Software-based, real-time AI dashboard providing continuous risk estimates for unplanned cesarean delivery during labor. for people with cesarean section rate, labor, obstetric, and other related conditions. The study is currently recruiting participants at 1 location. People eligible for this study include women aged 18 Years and older.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICESoftware-based, real-time AI dashboard providing continuous risk estimates for unplanned cesarean delivery during labor.

The intervention is a software-based, real-time clinical decision-support dashboard (ORACLE-AI) integrated into the electronic health record and used during intrapartum care. The system continuously analyzes admission characteristics and dynamic labor data, including serial cervical examinations, uterine activity, and cardiotocography (CTG) annotations, to generate individualized estimates of the probability of unplanned cesarean delivery. Risk estimates are updated automatically every 5-7 minutes and displayed as a continuous numeric percentage with a graphical time trend and 95% confidence intervals. The dashboard is visible only to the clinical care team and is advisory in nature; it does not provide prescriptive recommendations or automated alerts, and it does not replace clinical judgment. All obstetric management decisions, medications, and procedures follow standard institutional protocols at the discretion of the treating clinicians. No drugs, implants, or additional procedures


Locations(1)

Hadassah Mt. Scopus Hebrew University Medical Center

Jerusalem, Israel, Israel

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NCT07430358


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