FDA-cleared profile

BioticsAI

Bioticsai, Inc.

BioticsAI assists healthcare professionals during and after fetal ultrasound acquisition and interpretation by detecting views and anatomical structures and facilitating quality-criteria verification on DICOM images and frames; it is a concurrent reading aid for the labeled GE ultrasound and prenatal population.

Evidence status: each field shows source quality, applicability, and review date. Research pending, information not established in reviewed sources, and vendor documentation pending are distinct outcomes.

Clinical fit

What this tool is for

Start with the authorized purpose, then verify how it fits your service line and reading workflow.

Exact purpose
BioticsAI assists healthcare professionals during and after fetal ultrasound acquisition and interpretation by detecting views and anatomical structures and facilitating quality-criteria verification on DICOM images and frames; it is a concurrent reading aid for the labeled GE ultrasound and prenatal population.
FDA source Exact FDA submission Checked 2026-09-05
Intended users
Healthcare professionals including sonographers, OB/GYNs, maternal-fetal medicine specialists and fetal surgeons
FDA source Exact FDA submission Checked 2026-09-05
Care setting and population
Professional prenatal ultrasound/OB-GYN care; maternal ages 18-44 and fetal images at 18-39 weeks' gestation
FDA source Exact FDA submission Checked 2026-09-05

Replaces the baseline's generic Pediatric population with exact maternal/gestational bounds. Typical second-trimester anatomy exams are described.

Workflow role
Concurrent reading and image-processing support during and after fetal anatomy examination
FDA source Exact FDA submission Checked 2026-09-05
Required input
Still fetal ultrasound DICOM instances or individual frames from multiframe instances from GE ultrasound devices; images are submitted during or after the examination.
FDA source Exact FDA submission Checked 2026-09-05
Output and human action
AI-1 high-level anatomy labels, AI-2 per-class top-1 fetal plane labels, and AI-3 anatomical structure labels. Green/red/yellow indicators distinguish detected, not-detected and manual-verification items; DICOM viewing and report templates support DICOM SR export.
FDA source Exact FDA submission Checked 2026-09-05
Limitations
Validated only with GE ultrasound; not intended for maternal ages outside 18-44 or gestation below 18 weeks, with validation covering 18-39 weeks. Quality assessment concerns expected structure presence. An unrecognized structure requires clinical review and does not itself establish a fetal anomaly.
FDA source Exact FDA submission Checked 2026-09-05

The comparison table says Real Time: No, despite real-time wording elsewhere in the description; no streaming or latency guarantee is assigned.

Regulatory identity

FDA record and catalog context

The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.

FDA submission
K250959
FDA source Exact FDA submission Checked 2026-08-31
Modality
Ultrasound
FDA source Exact FDA submission Checked 2026-09-05
Anatomy
Obstetric/Fetal
FDA source Exact FDA submission Checked 2026-09-05
Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2025-12-22
FDA source Exact FDA submission Checked 2026-08-31
FDA status
FDA-cleared
FDA source Exact FDA submission Checked 2026-08-31

Implementation

Questions for IT, informatics, and operations

Use these fields to structure a vendor demo, security review, and implementation estimate.

Integration
Client-provided DIMSE connectivity exports ultrasound DICOM to the BioticsAI DICOM Adapter; populated reports can be exported to the clinic PACS as DICOM SR over DIMSE.
FDA source Exact FDA submission Checked 2026-09-05
Deployment and data flow
Cloud-based SaaS accessed through an internet browser; Google Chrome is recommended in the summary.
FDA source Exact FDA submission Checked 2026-09-05

Preserves the known cloud baseline without inferring region, retention or SLA.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

Regulatory cybersecurity testing and cloud descriptions do not establish a current scoped attestation, retention policy, region or installed access controls.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

Exact onboarding, competency, handling of unsupported views and support commitments require current vendor documentation.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

Editorial acceptance questions: verify missing-view/manual-review handling, maternal/gestational eligibility and DICOM SR export against local protocols; no supplied monitoring service is verified.

Official product-family workflow

BioticsAI's official site describes fetal-screening completeness/quality assessment and report generation, and provides a demonstration request route.

product family · checked 2026-09-05

Broader marketing statements about identifying fetal anomalies and real-time feedback are not treated as exact K250959 indications or validated outcomes.

DICOM SR reporting

Report templates can export populated DICOM SR to the clinic PACS via DIMSE.

exact submission · checked 2026-09-05

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.

Evidence summary
Exact FDA standalone evidence establishes anatomy/plane/structure classification endpoints. It does not establish the official homepage's broader anomaly-detection or real-time outcome claims.
Public source Exact FDA submission Checked 2026-09-05
Reported sensitivity
93.4% (95% bootstrap CI 92.9-94.0%) for AI-1 detection of five high-level fetal anatomy sections across all image qualities
FDA source Exact FDA submission Checked 2026-09-05

Table 7; 11,186 images from 296 patients at one US site, K250959 model. This is anatomy classification, not fetal-anomaly diagnostic sensitivity.

Reported specificity
98.9% (95% bootstrap CI 98.8-99.0%) for AI-1 detection of five high-level fetal anatomy sections across all image qualities
FDA source Exact FDA submission Checked 2026-09-05

Same Table 7 anatomy-classification endpoint and dataset; not a global anomaly-detection specificity.

High-level anatomy sensitivity

93.4 percent

AI-1 detection of abdomen, face, head, limbs and thorax sections across all image qualities, FDA Table 7 in 11,186 fetal ultrasound images from 296 patients at one US site; GE acquisitions within labeled maternal/gestational ranges.

Tested version: BioticsAI model submitted in K250959

High-level anatomy specificity

98.9 percent

AI-1 detection of abdomen, face, head, limbs and thorax sections across all image qualities, FDA Table 7 in 11,186 fetal ultrasound images from 296 patients at one US site; GE acquisitions within labeled maternal/gestational ranges.

Tested version: BioticsAI model submitted in K250959

K250959 BioticsAI standalone classification validation

Manufacturer held-out standalone testing across anatomy, plane and anatomical-structure classification tasks · 11,186 images from 296 patients at one US site, including variation in BMI, ethnicity, gestational age, twins and abnormalities

exact submission · Tested version: BioticsAI configuration in K250959 · n=296 · 1 site · Sponsor or vendor study

K250959

Multiple imaging units at a single site. Dataset excluded development/operating-point selection data. Reference-annotation details remain incompletely abstracted; no prospective patient-outcome claim is made.

Economics and lifecycle

Budget and ongoing governance

These are common procurement questions; unknown values remain visible until a source supports them.

Pricing and total cost
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

The official site offers demo/sales contact but no verified price, unit, minimum volume or implementation/support fee for K250959.

Reimbursement and coding
Research pending
Needs research Exact FDA submission Checked 2026-09-05

Applicable CMS policy content has not been reviewed; fetal ultrasound service billing is not assigned as product reimbursement.

Safety and lifecycle

Postmarket record

Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.

Postmarket safety review
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-04

No native submission-identifier match was found in the checked openFDA radiology recall snapshot. Product-name, manufacturer, and adverse-event searches remain necessary; this does not establish that no recall or safety report exists.

Buyer worksheet

Open questions to take to the vendor

Open evaluation checklist

Research record

What has been checked

This audit distinguishes completed source review from fields that have not yet been researched.

Human reviewedStatus
2026-09-05Last searched
23Fields reviewed
11Source classes checked
1Reviewed PubMed leads
0Reviewed trial leads
0Unreviewed FDA recall leads

Stored prospective fetal-anatomy classification title/date screened. Live page established citation DOI 10.1002/ijgo.70779, but subsequent abstract retrieval was blank. Exact tested device/version and methods remain unresolved; no study or metric promoted. Stored trial array empty. The current discovery snapshot contains 1 PubMed and 0 ClinicalTrials.gov candidate records; its dated, count-matched human screening remains current. Unlinked candidates remain quarantined. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads were screened against the exact product and tested version. Unlinked records remain quarantined.

Source classes: fda ai list, fda decision summary, acr ai central product, vendor product page, literature index, trial registry, stored candidate metadata, stored recall candidates, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-05.

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