{ "release_id": "fc5a600ec7387e71", "id": "maternal:idea-ai-blind-sweep-ultrasound", "owner": "maternal", "kind": "idea", "slug": "idea-ai-blind-sweep-ultrasound", "name": "AI reading of blind-sweep ultrasound to date pregnancies where sonographers are scarce", "aliases": [], "atlases": [ "maternal" ], "summary_plain": "Ultrasound is the best way to date a pregnancy, but it needs trained sonographers and costly machines. Researchers trained a computer program to estimate how many weeks pregnant a woman is from simple sweeps of a low-cost probe over the abdomen. In a study in Zambia and North Carolina, untrained users got dating about as accurate as trained sonographers. It is still a research tool and not routine care.", "summary_technical": "Hypothesis with a prospective test: AI estimation of gestational age from blind sweeps by novice users on a low-cost device is as accurate as standard biometry by credentialed sonographers. Results: development study (NEJM Evidence 2022; 4695 volunteers; mean absolute error 3.9 against 4.7 days) and prospective diagnostic accuracy study (JAMA 2024; 400 participants; 3.2 against 3.0 days, difference 0.2 days, 95% CI -0.1 to 0.5, within a prespecified 2-day margin). The first paper reports funding from the Bill and Melinda Gates Foundation. Dating accuracy only; effects on care and outcomes are not tested.", "editorial_state": "draft", "last_substantive_edit": "2026-10-14", "last_evidence_check": "2026-10-14", "next_review_due": null, "identifiers": [], "navigation": { "maternal": { "life-stage": [ "pregnancy" ], "care-area": [ "fetal-development" ] } }, "payload": { "hypothesis": "AI estimation of gestational age from blind ultrasound sweeps collected by novice users on a low-cost, battery-powered device is as accurate as fetal biometry done by credentialed sonographers on high-specification machines.", "rationale": "Ultrasound is indispensable to gestational age estimation, yet high equipment cost and the need for trained sonographers limit its use in low-resource settings (NEJM Evidence abstract).", "test": "A prospective diagnostic accuracy study in Lusaka, Zambia, and Chapel Hill, North Carolina, with an equivalence margin of 2 days (JAMA 2024), after a model-development study (NEJM Evidence 2022).", "maturity": "tested", "proponents": [], "objections": [ "The prospective study covered the 14 to 27 week window at two sites and measured dating accuracy only, not effects on care or outcomes.", "Several sub-comparisons in the development study have intervals that include no difference." ] }, "content_digest": "44b873d76853c121699d5a1114670ec012803fb645dc59a7429fdb69dc91b261", "review": { "content_digest": "44b873d76853c121699d5a1114670ec012803fb645dc59a7429fdb69dc91b261", "current": [], "conflicting": [], "stale": [], "inactive": [] }, "claims": [ { "release_id": "fc5a600ec7387e71", "id": "maternal:claim-ai-sweeps-jama-2024", "owner": "maternal", "subject_entity_id": "maternal:idea-ai-blind-sweep-ultrasound", "category": "descriptive", "statement": "A prospective diagnostic accuracy study enrolled 400 individuals with viable, single, nonanomalous, first-trimester pregnancies in Lusaka, Zambia, and Chapel Hill, North Carolina. At random follow-up visits, novice users with no prior training in sonography collected blind sweeps of the maternal abdomen with an AI-enabled low-cost, battery-powered ultrasound device, while credentialed sonographers did fetal biometry with a high-specification machine. In the primary window (14 0/7 to 27 6/7 weeks) the device met the prespecified equivalence margin of 2 days: mean absolute error 3.2 days against 3.0 days for biometry (difference 0.2 days, 95% CI -0.1 to 0.5). The share of assessments within 7 days of the reference gestational age was 90.7% for the device and 92.5% for biometry.", "context": { "id": "maternal:ctx-ai-sweeps-pregnancies", "label": "Pregnant individuals scanned by novice users with an AI-enabled ultrasound device, 14 0/7 to 27 6/7 weeks (Zambia and North Carolina)", "recipient": "fetal", "population": "Individuals with viable, single, nonanomalous, first-trimester pregnancies (400 enrolled), whose gestational age was set by transvaginal crown-rump length. The person scanned is the pregnant woman; the quantity estimated is the gestational age of the pregnancy.", "care_setting": "Low-cost battery-powered device used by novice users with no prior training in sonography, at follow-up visits", "geography": "Lusaka, Zambia, and Chapel Hill, North Carolina (United States)", "life_stage_note": "Pregnancy; primary evaluation window 14 0/7 to 27 6/7 weeks of gestation", "life_stage_terms": { "maternal": [ "pregnancy" ] }, "gestational_age_min_days": 98, "gestational_age_max_days": 195, "gestational_age_basis": "at_measurement", "postnatal_age_min_days": null, "postnatal_age_max_days": null, "gestational_age_status": null, "postnatal_age_status": null, "followup_description": "Random follow-up visits throughout gestation", "eligibility": { "inclusion": [ "Viable, single, nonanomalous, first-trimester pregnancy" ], "exclusion": [ "Not stated in the parts of the source that were read." ] } }, "evidence_stage": "observational", "certainty": "not_assessed", "certainty_method": null, "limitations": "Tested at two sites and in one gestational window (14 to 27 weeks), with first-trimester crown-rump length as the reference. It measures dating accuracy, not any effect on care or outcomes. It is a research tool; the sources do not show routine use. Only the abstract was read; the registry number printed there (NCT05433519) was not fetched.", "editorial_state": "draft", "checked_at": "2026-10-14", "next_review_due": null, "valid_from": null, "valid_to": null, "citations": [ { "evidence_role": "supports", "locator": "Abstract, DESIGN, SETTING, AND PARTICIPANTS, sentence 1", "applicability_note": "PubMed abstract.", "snapshot": { "id": "maternal:pubmed-39088200-2026-10-14", "retrieved_at": "2026-10-14T18:18:29Z", "content_hash": "983cc77f9baeba4430473c25ed0df98926e093f8a2207d36ac68c5cc45c2ce94", "source_effective_date": null, "public_archive_url": null, "source_state": "current" }, "source": { "id": "maternal:pubmed-10-1001-jama-2024-10770", "source_type": "publication", "title": "Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps", "canonical_url": "https://doi.org/10.1001/jama.2024.10770", "identifiers": [ { "scheme": "doi", "value": "10.1001/jama.2024.10770", "normalized_value": "10.1001/jama.2024.10770", "match": "exact", "version": null, "label": null, "from_source": false }, { "scheme": "pmid", "value": "39088200", "normalized_value": "39088200", "match": "exact", "version": null, "label": null, "from_source": false } ], "publication_date": "2024-08-27", "publisher": "JAMA", "edition": "PubMed record (abstract and bibliographic data) from NCBI E-utilities, retrieved 2026-10-14. 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