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AI dashboard aims to predict unplanned C-Sections in real time

NCT ID NCT07430358

Knowledge-focused Sponsor: Hadassah Medical Organization Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This trial is testing a software dashboard that uses artificial intelligence to continuously estimate a woman's risk of needing an unplanned C-section during labor. The study involves 400 first-time mothers with a single baby in head-down position. Half of the participants will have the AI dashboard visible to their care team, while the other half will receive standard care. The goal is to see if the AI tool can help reduce unnecessary C-sections or improve other outcomes.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI decision-support dashboard (software)
What this could lead to
If successful, this could help doctors make better decisions during labor, potentially reducing unnecessary C-sections and improving outcomes for mothers and babies.
What could go wrong
This is an early-stage trial with 400 participants, so results may not apply to all hospitals or populations. The AI might not improve outcomes or could even lead to over-reliance on technology.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 400 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

May 2026

An estimate. Start dates often move.

Expected to finish

Apr 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 years and older

Sex

Female participants only

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

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

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Cesarean section rate Labor, obstetric Pregnancy

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Hadassah Mt. Scopus Hebrew University Medical Center

    RECRUITING

    Jerusalem, Israel, 9308810, Israel

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