AI ultrasound could bring lifesaving pregnancy checks to remote villages
NCT ID NCT07677670
First seen Jul 01, 2026 · Last updated Sep 16, 2026 · Updated 3 times
Summary
This study tests whether a smartphone-based AI ultrasound, operated by health workers with minimal training, can accurately estimate gestational age, detect placenta position, and identify fetal presentation in pregnant women in rural Democratic Republic of the Congo. The goal is to see if this technology can replace the need for specialist sonographers in remote areas. Around 1,430 to 3,000 pregnant women will participate, and the AI's results will be compared to standard measurements by expert readers.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- SPAQ E-con AI blind-sweep ultrasound
- What this could lead to
- If accurate, this could bring essential antenatal screening to remote areas lacking specialist sonographers, improving maternal and fetal health.
- What could go wrong
- The AI may not perform as well in real-world rural settings, and the study is limited to one region in DRC, so results may not apply elsewhere.
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.
- Participants
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About 3,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jun 2026
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Pregnant women attending routine antenatal care at participating facilities or identified through community health worker (RECO) village outreach in the Kenge health zone, Kwango province, DRC.
- Ages
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18 years and older
- Sex
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Female participants only
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide 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: * Pregnant women aged 18 years or older * Identified at a participating facility routine ANC visit or RECO village outreach within the Kenge health zone catchment * Written informed consent obtained Exclusion Criteria: * Emergency presentation * Duplicate re-registration of an already-enrolled woman * Lacking capacity to consent * Planned relocation outside Kwango province during the study period * Refusal of consent
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Genom att skicka in godkänner du våra Användarvillkor
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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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
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Centre de Sante CBCO
RECRUITINGKenge, Kwango, Democratic Republic of the Congo
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Can a City-Wide survey unlock the secrets of safe pregnancy?
- Can we predict a smoother recovery after childbirth?
- Can AI read heart scans as well as experts?
- Could routine STI screening during pregnancy prevent preterm births?
- Helping the helpers: could reducing stress and bias among birth attendants transform maternal care?