Obstetrics_gynecology · Fetal ultrasound abnormal-finding detection (concurrent reading aid)

Sonio Suspect

Sonio (Samsung Medison)

CEFDARetrospective

Sonio Suspect is a narrow, well-documented reading aid. Its FDA clearance rests on a standalone test of 8,745 images from 75 sites, with 93.2 percent sensitivity and 90.8 percent specificity across eight predefined findings, and on a 13-reader retrospective study in which assisted reading lifted the mean area under the curve from 0.689 to 0.909. The same standalone dataset is now in Obstetrics and Gynecology. It holds an FDA clearance, an EU MDR Class IIa register entry and no adverse-event report. One mark: the evidence is retrospective and entirely manufacturer-authored, and no prospective study of its effect on screening outcomes exists.

Performance Metrics

93.2% / 90.8%STANDALONE SENSITIVITY / SPECIFICITYMean across 8 findings, 8,745 images, 75 sites (K243614 summary; Obstet Gynecol 2026)
0.689 → 0.909READER AUC, UNASSISTED → ASSISTED13 readers, 750 images, 47 sites; retrospective MRMC (K243614 summary)
87.7% – 99.3%PER-FINDING SENSITIVITY RANGELowest: great-vessel malposition; highest: abdominal situs inversus
8FINDINGS IN CLEARED SCOPEChest 4, abdomen 2, head 2, on 6 standard views; 11–41 weeks
FDA + CEREGULATORY FOOTPRINTUS 510(k) Feb 2025 (integration config Jun 2026) + EU MDR Class IIa on EUDAMED

Clinical Evidence

The evidence base is two retrospective studies, both run by the manufacturer for the FDA submission. The standalone validation in the 510(k) summary used 8,745 fetal ultrasound images from 1,115 examinations across 75 sites, 64 of them in the United States, held out from model development. Across the eight findings the device reached a mean sensitivity of 93.2 percent (95 percent bootstrap CI 91.6 to 94.6) and a mean specificity of 90.8 percent (89.5 to 92.0). Performance varied by finding. Abdominal situs inversus scored 99.3 percent on both measures. Malposition of the great vessels had the lowest sensitivity, 87.7 percent, and absence or unusual size of one of the three vessels the lowest specificity, 81.5 percent. Disequilibrium or absence of a ventricle sat at 90.0 percent sensitivity and 81.7 percent specificity. The summary says subgroup results by indication, race, ethnicity, BMI, gestational age, maternal age, scanner manufacturer, geography and finding status are in the user manual, not in the public document. Validation covered GE, Philips, Samsung and Canon scanners only. The reader study, also retrospective, had 13 readers (five maternal-fetal medicine specialists, six obstetrician-gynaecologists, two radiologists) each read 750 images from 287 examinations and 47 sites, with and without the software, separated by a washout of at least 28 days. The primary endpoint was reader accuracy. Mean reader AUC rose from 0.689 (95 percent CI 0.65 to 0.73) unassisted to 0.909 (0.886 to 0.931) assisted, a difference of 0.219 (0.185 to 0.253). The gain was largest for absence of the cavum septi pellucidi, where unassisted readers scored 0.567, and smallest for the stomach finding, where they already scored 0.84. The summary's prose gives the assisted AUC as 90.0 percent while its table gives 0.909; the table value is used here. The study is image-level, so it measures recognition of a finding on a given frame, not detection across a whole examination. No peer-reviewed publication of the reader study was found on PubMed. The standalone dataset is published as Morisset et al., Obstetrics and Gynecology 2026 (PMID 41505754). The abstract reports 6,452 images from 1,115 examinations in 942 patients at 75 sites in five countries, with 6,094 images contributing to the estimates, and the same 93.2 percent sensitivity and 90.8 percent specificity. The image count differs from the 8,745 in the FDA summary; the full text, which should explain the exclusions, could not be read for this entry. Ground truth came from a multidisciplinary panel using a three-step majority consensus. The authors report performance generally consistent across manufacturers, regions, BMI categories and trimesters. All nine authors disclose a Sonio relationship: four are employees (Morisset, Logé-Munerel, Debavelaere, Besson), three are co-founders (Besson, Ville, Stirnemann) and three are consultants (Fries, Oyelese, Turan). No comment, erratum or retraction is linked to the record. Other Sonio-linked papers in PubMed concern different products: the 2023 Ultrasound in Obstetrics and Gynecology paper by Stirnemann et al. validates a phenotype-based diagnostic support tool, and the Combs et al. quality-review series and the 2025 visual-checklist study concern Sonio Pro and exam completeness. A 2026 letter in the same journal by Besson et al. (PMID 42175650) tests two research models of fetal heart structures, stated as not approved for clinical use. A model trained mostly on normal hearts fell to 14 percent sensitivity on transposition of the great arteries; adding abnormal cases fixed most of this. It bears on the great-vessel finding but is not a test of the product. None of these papers evaluates Sonio Suspect. AurisMark: one mark. The device holds an FDA clearance and an EU MDR register entry, and has one peer-reviewed study. Two marks need prospective-grade evidence of this device, and both studies are retrospective, manufacturer-run, and silent on what happens to referral rates or anomaly detection in live screening.

StudyDesignnSensitivitySpecificityAUCPublished
Morisset C, et al. (all nine authors Sonio employees, co-founders or consultants; 75 sites, 5 countries)
RetrospectiveRetrospective
94293.2% (95% CI 91.6–94.6), mean of 8 findings90.8% (95% CI 89.5–92.0), mean of 8 findings—Obstet Gynecol 2026;148(2):238–246 (PMID 41505754); standalone validation on 6,452 images from 1,115 exams
Sonio (manufacturer); 13 readers, 47 sites
RetrospectiveRetrospective
287not reported (AUC endpoint)not reported (AUC endpoint)0.689 unassisted → 0.909 assisted (Δ 0.219, 95% CI 0.185–0.253)FDA 510(k) summary K243614 (2025); fully crossed MRMC, 750 images from 287 exams; no peer-reviewed publication located

Inside the algorithm

Editorial feature

How Sonio Suspect reads a fetal ultrasound image.

Five stages — from raw input to verdict — drawn from manufacturer documentation and the public regulatory record.

  1. INGEST
  2. NORMALISE
  3. DETECT
  4. LOCALISE
  5. VERDICT

Stage 01 · INGEST

Still images arrive from the scanner or an upload.

Sonio Suspect takes fetal ultrasound still images at any point from 11 to 41 weeks of gestation. In the cleared web-based configuration the clinician uploads images or connects a scanner through an API, and processing happens in Sonio's cloud. In the 2026 integration configuration the same algorithm runs inside a third-party ultrasound system. Validation covered GE, Philips, Samsung and Canon scanners.

Analysis can run during the examination or afterwards. The output is meant to be available to the reader while the images are still in front of them.

Input

Fetal ultrasound still

Inference

Per image, cloud or embedded

Inside the Auris+ Listing

Five more sections complete this device’s Auris+ Listing.

  • Decision Ledger

    Pro

    Pro unlocks a private, cross-vendor log of every case you read on this device — what the AI called, what you concluded, and a one-line reason if you overrode it. Ready for the EU AI Act's deployer logging obligations when they land in 2028.

  • Clinical Evidence Deep Dive

    Pro

    Pro unlocks the structured clinical-evidence summary — study count, target patient population, and a tabular accuracy-metrics view drawn from peer-reviewed sources.

  • Peer-Reviewed Publications

    Pro

    Pro unlocks the curated peer-reviewed publication list with PubMed cross-links — the citation backbone of every editorial verdict.

  • Post-Market & Regulatory Conditions

    Pro

    Pro unlocks the post-market surveillance summary, recall record, and the conditions of approval that bound real-world use.

  • AI Algorithm Version History

    Pro

    Pro unlocks the chronological record of algorithm version changes — what changed when, drawn from manufacturer changelogs and regulatory filings.

Upgrade to Pro →

Regulatory Approvals

CE
Sonio Suspect — EUDAMED device record, Class IIa under MDR 2017/745

Class IIa

Source ↗

FDA
Sonio Suspect — integration configuration for third-party ultrasound systems (special 510(k), product code POK)

K261519

Class II

Source ↗

Safety Record

No safety alerts or recalls on record.

No adverse-event report names Sonio Suspect in the FDA MAUDE database, and no recall or enforcement action names Sonio, checked via openFDA on 1 October 2026, nineteen months after clearance. The one report under the Sonio name is a June 2025 malfunction for the sibling product Sonio Detect, with no injury. The harm surface is indirect. A missed flag can let a finding pass unremarked, and a false flag can prompt referral; the labelling keeps the interpreting physician responsible for the read and bars management decisions on the software alone. The 510(k) summary states that the predicate had no design-related recall; neither FDA document has a clinical safety section, so no statement about adverse events in the studies can be made here.

Intended Use & Indications

From the FDA indications for use (K243614, 21 February 2025): Sonio Suspect is intended to assist interpreting physicians, during or after fetal ultrasound examinations, by automatically identifying and characterizing abnormal fetal ultrasound findings on detected views, using machine learning techniques. The device is intended for use as a concurrent reading aid on acquired images, during and/or after fetal ultrasound examinations. The device provides information on abnormal findings that may be useful in rendering potential diagnosis. Patient management decisions should not be made solely on the results of the Sonio Suspect analysis. Prescription use. The 510(k) summary limits the scope to eight findings: malposition of the great vessels; absence or unusual size of one of the three vessels; disequilibrium or absence of one of the two ventricles; thoracic situs inversus; abdominal situs inversus; non-visibility of a single stomach bubble or an abnormally big stomach; absence of the cavum septi pellucidi; and absence of the corpus callosum. The corpus callosum view is not detected automatically and must be assigned by the user.