AI ultrasound aims to slash maternal deaths in ethiopia

NCT ID NCT07171086

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study tests whether portable AI-driven ultrasound devices can help frontline health workers in rural Ethiopia detect pregnancy complications early. About 1,059 pregnant women will be split into three groups: two using different AI ultrasound tools and one receiving standard care without ultrasound. The goal is to see if AI-POCUS reduces maternal deaths, stillbirths, and preterm births.

What this could mean

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

Active substance

AI-POCUS ultrasound devices (BabyChecker and Edan)

What this could lead to

If successful, this could show that AI-assisted ultrasound by frontline health workers reduces maternal and newborn deaths in low-resource settings.

What could go wrong

This is a Phase 4 trial in a specific rural setting, so results may not apply elsewhere. The AI devices may not perform as well as expected, and training or technical issues could limit effectiveness.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

Fetal Death fetal growth restriction pregnancy disorder pregnancy disorder with abortive outcome Premature Birth Stillbirth

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Hakim Gizaw Hospital

    Debre Berhan, Amhara, 1000, Ethiopia

    Contact Phone: •••-•••-•••• Email: •••••@•••••