SwiftMR

Evidence summary

FDA K230854 reports unit, integration/system, and retrospective clinical-image validation testing; all predetermined criteria were reported as passed. Noise-reduction acceptance required SNR increase of at least 40% for at least 90% of the dataset at level 1, with 1% incremental increases per level. Sharpening acceptance required FWHM reduction of 0.13% for the deep-learning model or 0.43%, 1.7%, 2.3%, 3.6%, or 4.5% for filter levels 1-5, each for at least 90% of the dataset. Validation covered six manufacturers, 0.25T-3.0T field strengths, multiple body regions and protocols, adults and pediatric subjects, and reduced-scan-time images up to 50%. No FDA sensitivity, specificity, diagnostic AUC, or reader-study endpoint is established.

• FDA source
• Exact FDA submission
• Checked 2026-09-09

• Source

No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.

Postmarket safety review

The exact-identifier FDA recall query returned no native recall record for K230854. This limited result does not establish absence of recalls or other safety information and does not cover later versions, family records, MAUDE reports, corrections, or field notices.

• Public source
• Exact FDA submission
• Checked 2026-09-09

• Source

• Verify security and privacy controls: Exact-release security controls, data retention, hosting boundaries, and scoped assurance documentation require vendor confirmation.
• Verify training: Current training prerequisites, competency checks, and support commitments for the exact configuration require vendor confirmation.
• Verify pricing and total cost: No public price or quote for the exact K230854 configuration was established in this review.
• Verify reimbursement and coding relevance: No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.
• Verify local validation and lifecycle monitoring: Current drift, quality, uptime, alert, escalation, and incident-response commitments for the exact configuration require vendor confirmation.

Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Exact FDA scope controls clinical claims. ACR provides bounded exact-submission catalog context. Candidate literature metadata remains a discovery queue until full-text identity, endpoint, population, and version review is completed. Automated exact-name discovery found 3 PubMed and 0 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads remain unpublished until a human confirms the exact product and tested version.

Source classes: fda ai list, fda decision summary, acr ai central product, fda device recall, literature index, trial registry, pubmed, clinical trials, openfda device recall