DPS Kwango
Kenge, Kwango, Democratic Republic of the Congo
Location status: Recruiting
NCT Number: NCT07677670
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.
Interested in participating?
Request Info16 year and older
Female
Observational
Kenge, Kwango, Democratic Republic of the Congo
Location status: Recruiting
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: Through study completion, up to 12 months
MAE in days vs reference standard, with 95% CI; target MAE ≤7 days and upper 95% CI ≤10 days
Time frame: Through study completion, up to 12 months
MAE in days vs reference standard, with 95% CI; target MAE ≤10 days and upper 95% CI ≤14 days
Time frame: At Batch 1 closure, up to 8 weeks
Expected Calibration Error from the reliability diagram of AI confidence versus reference-standard agreement; target <=0.05
Time frame: At Batch 1 closure, up to 8 weeks
Brier score of AI confidence versus reference-standard agreement; target <=0.20
Time frame: Through study completion, up to 12 months
Integrated Cohort A T1 + Cohort B-2, N=30; CRL model MAE ≤5 days or GS model MAE ≤7 days
Time frame: Through study completion, up to 12 months
Observed sensitivity/specificity with 95% CI (Clopper-Pearson) on enriched validation subset (Cohort B-1, target N=20-25); reported as observed values
Time frame: During the inter-rater assessment window, up to 1 week
ICC(2,1) between two independent readers for gestational age in days
Time frame: During the inter-rater assessment window, up to 1 week
Cohen's kappa for placenta praevia (yes/no) between two independent readers
Time frame: During the inter-rater assessment window, up to 1 week
Linear weighted kappa for fetal presentation category between two independent readers
Time frame: Through study completion, up to 12 months
Mean AIM score (4-item, 5-point Likert) among health workers
Time frame: Through study completion, up to 12 months
Number of scans completed per device per day; target >=15
Time frame: Through study completion, up to 12 months
Percentage adherence on a 5-item fidelity checklist; target >=80%
Time frame: Through study completion, up to 12 months
Percentage of eligible women in the catchment screened with AI ultrasound
Time frame: At study completion, up to 12 months
Percentage of staff reporting intention to continue use at the end-of-study interview
Contact information is provided by the study sponsor or research team.
SOIK Corporation Sarl
Industry
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
Acronym: FS2
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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