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.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Hakim Gizaw Hospital
Debre Berhan, Amhara, 1000, Ethiopia
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