AI Blind-Sweep Ultrasound for Antenatal Screening by Non-Specialist Health Workers in Rural DR Congo
FS2
Diagnostic Accuracy and Implementation Feasibility of AI-Assisted Blind Ultrasound Sweep (SPAQ E-con AI) for Antenatal Screening by Non-Specialist Health Workers in Rural Democratic Republic of the Congo
1 other identifier
observational
3,000
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2026
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 18, 2026
CompletedStudy Start
First participant enrolled
June 19, 2026
CompletedFirst Posted
Study publicly available on registry
July 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 13, 2027
July 1, 2026
June 1, 2026
7 months
June 18, 2026
June 24, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Gestational age mean absolute error (MAE), Trimester 2 (14-27 weeks)
MAE in days vs reference standard, with 95% CI; target MAE ≤7 days and upper 95% CI ≤10 days
Through study completion, up to 12 months
Gestational age mean absolute error (MAE), Trimester 3 (28-36 weeks)
MAE in days vs reference standard, with 95% CI; target MAE ≤10 days and upper 95% CI ≤14 days
Through study completion, up to 12 months
AI confidence calibration - Expected Calibration Error (ECE)
Expected Calibration Error from the reliability diagram of AI confidence versus reference-standard agreement; target \<=0.05
At Batch 1 closure, up to 8 weeks
AI confidence calibration - Brier score
Brier score of AI confidence versus reference-standard agreement; target \<=0.20
At Batch 1 closure, up to 8 weeks
Secondary Outcomes (10)
Trimester 1 gestational age MAE (CRL and GS models)
Through study completion, up to 12 months
Placenta praevia and fetal malpresentation sensitivity and specificity
Through study completion, up to 12 months
Inter-rater reliability of gestational age - Intraclass Correlation Coefficient (ICC)
During the inter-rater assessment window, up to 1 week
Inter-rater reliability of placenta praevia classification - Cohen's kappa
During the inter-rater assessment window, up to 1 week
Inter-rater reliability of fetal presentation classification - weighted kappa
During the inter-rater assessment window, up to 1 week
- +5 more secondary outcomes
Study Arms (3)
Cohort A
Natural enrollment / Description: Consecutive ANC attendees (natural prevalence)
Cohort B-1 Placenta/malpresentation enriched
Enriched validation subset for placenta praevia and fetal malpresentation
Cohort B-2 - Trimester 1 (CRL/GS) enriched
Enriched trimester 1 cases for CRL/GS gestational age models
Interventions
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.
Eligibility Criteria
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.
You may qualify if:
- Pregnant women
- Identified at a participating facility routine ANC visit or RECO village outreach within the Kenge health zone catchment
- Informed consent obtained (16-17 years with parent/guardian consent)
You may not qualify if:
- Emergency presentation
- Multiple pregnancy
- Duplicate re-registration of an already-enrolled woman
- Lacking capacity to consent
- Planned relocation outside Kwango province during the study period
- Refusal of consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
DPS Kwango
Kenge, Kwango, Democratic Republic of the Congo
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Kuniyuki Furuta
SOIK Corporation
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 18, 2026
First Posted
July 1, 2026
Study Start
June 19, 2026
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
June 13, 2027
Last Updated
July 1, 2026
Record last verified: 2026-06