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

NCT ID NCT07430358

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

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.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for CESAREAN SECTION RATE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

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

CESAREAN SECTION RATE LABOR, OBSTETRIC PREGNANCY

Contacts and locations

Locations

Hadassah Mt. Scopus Hebrew University Medical Center
RECRUITING

Jerusalem, Israel, 9308810, Israel

More trials for these conditions

Other studies related to the condition(s) this trial covers.