AI Blind-Sweep Ultrasound for Antenatal Screening by Non-Specialist Health Workers in Rural DR Congo
NCT07677670 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000
Last updated 2026-07-01
Summary
FS2 evaluates the diagnostic accuracy and implementation feasibility of an AI-assisted blind-sweep obstetric ultrasound (SPAQ E-con AI), operated by trained non-specialist health workers, for antenatal screening in rural Democratic Republic of the Congo. Primary outcomes are gestational age mean absolute error (Trimester 2 and Trimester 3) with 95% confidence intervals and AI confidence calibration. The reference standard is manual measurement by a reference reader (early ultrasound first; manual BPD if unavailable; last menstrual period is not used). Target enrollment is approximately 1,430 (IRB-approved ceiling 3,000), with early termination permitted upon achievement of pre-specified analysis-plan thresholds. The study is a multi-center prospective Hybrid Type 1 Effectiveness-Implementation design and includes a pre-specified adaptive model-update (Batch 2 cut) plan following FDA PCCP and STARD-AI guidance.
Conditions
- Antenatal Care
- Maternal Health
- Gestational Age
- Placenta Praevia
- Diagnostic Imaging
Interventions
- DIAGNOSTIC_TEST
-
SPAQ E-con AI blind-sweep ultrasound
Smartphone-based 9-sweep obstetric ultrasound with AI estimation of gestational age, fetal presentation, and placenta location, operated by trained non-specialist health workers after 30-60 minutes of training.
Sponsors & Collaborators
-
SOIK Corporation Sarl
lead INDUSTRY
Principal Investigators
-
Kuniyuki Furuta · SOIK Corporation
Eligibility
- Min Age
- 16 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-06-19
- Primary Completion
- 2026-12-31
- Completion
- 2027-06-13
Countries
- Democratic Republic of the Congo
Study Locations
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