Real-time AI risk dashboard during labor to see if cesarean is avoided for first-time moms
Official title: Obstetric Risk Assessment & Cesarean-delivery in Labor Estimation Using Artificial Intelligence Trial (ORACLE-AI)
Run by Hadassah Medical Organization · NCT07430358 · Data updated 2026-11-12
This trial tests whether an AI dashboard shown during labor can help first-time mothers have fewer unplanned cesareans compared with standard care.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 400 (estimated) |
| Sponsor | Hadassah Medical Organization Academic / other |
| Locations | 1 site (Jerusalem, Israel) |
| Status | Recruiting |
| Started | May 19, 2026 |
| Main results expected | December 30, 2026 |
| Study ends | April 30, 2027 |
| Registry record updated | May 22, 2026 |
| Trial ID | NCT07430358 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Nulliparous women at ≥37 weeks with singleton, cephalic pregnancies admitted in labor or undergoing induction/augmentation and planning vaginal delivery at Hadassah Mount Scopus.
✕Probably not a fit
Patients with factors driving high cesarean risk unrelated to intrapartum decision-making may see little benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
ORACLE-AI is a single-center, open-label trial where first-time mothers in labor are randomized to receive a real-time AI risk dashboard within their electronic health record or standard intrapartum care. The study uses a 1:1 randomization at labor onset to compare outcomes, with the AI dashboard providing continuous estimates of cesarean delivery risk. The primary goal is to show non-inferiority for unplanned cesarean delivery rates, with potential secondary improvements in maternal and neonatal outcomes. The intervention is software-based and delivers ongoing risk estimates during labor. Eligible participants are nulliparous, singleton pregnancies in cephalic presentation at ≥37 weeks, admitted in labor or undergoing induction/augmentation, and planned for trial of labor at Hadassah-Hebrew University Medical Center.
Why it matters
Potential benefit: If successful, the AI dashboard could help clinicians and patients avoid unnecessary cesareans and improve maternal and newborn outcomes.
How similar studies have gone: Previous work in AI-assisted labor management has shown promise, but results for real-time risk dashboards in this setting remain exploratory.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years at the time of consent * Able and willing to provide written informed consent * Nulliparous (no prior birth ≥ 24 weeks' gestation) * Singleton live pregnancy * Cephalic (vertex) fetal presentation * Gestational age ≥ 37+0 weeks * Admitted to the labor ward in labor (cervical dilation ≥ 3 cm with regular contractions) or undergoing induction or augmentation of labor with intent to proceed to vaginal delivery * Planned trial of labor (no scheduled or elective cesarean delivery) * Receiving intrapartum care at Hadassah-Hebrew University Medical Center, Mount Scopus campus Exclusion Criteria: * Planned or elective cesarean delivery prior to labor admission * Multifetal gestation * Non-cephalic fetal presentation * Gestational age \< 37+0 weeks * Major fetal anomaly expected to affect labor or neonatal management * Contraindication to vaginal delivery (e.g., placenta previa, invasive placentation, prior uterine surgery precluding labor) * Category III fetal heart rate tracing on admission requiring immediate delivery * Maternal hemodynamic instability or other life-threatening condition necessitating urgent surgical or critical-care intervention * Inability to provide informed consent due to cognitive impairment, intoxication, or other incapacity * Concurrent participation in another interventional obstetric study that could confound outcomes or increase risk
Where it's running
-
Hadassah Mt. Scopus Hebrew University Medical Center
Jerusalem, Israel, Israel Recruiting
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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.