FDA-cleared profile

Rayvolve

AZmed

Rayvolve supports clinicians by identifying suspected fractures, joint effusions, and dislocations on labeled radiographic views; it does not replace clinician interpretation.

Evidence status: each field states its source quality, applicability, and review date. Research pending, information not established, and vendor documentation pending remain distinct outcomes.

Clinical details

What this tool is for

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

Exact purpose
Rayvolve supports clinicians by identifying suspected fractures, joint effusions, and dislocations on labeled radiographic views; it does not replace clinician interpretation.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Intended users
Radiologists and emergency physicians
  • Public source
  • Exact FDA submission
  • Checked 2026-09-01

Intended-user text reported in the exact-submission ACR model card.

Care setting and population
Adults and pediatric patients aged 2 years and older.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Workflow role
Detection, localization, or diagnostic support
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Required input
CR and DX radiographs received through a local-network DICOM node, limited to labeled anatomy/view combinations.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Output and human action
A processed image with zone-based suspected findings or no-abnormality output; the original is neither modified nor deleted and is displayed first.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Limitations
The labeled claims depend on the specific anatomy and views; software output is adjunctive and original images remain available for interpretation.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05

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
K260378
  • FDA source
  • Exact FDA submission
  • Checked 2026-08-31
Modality
X-ray/Radiography
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Anatomy
Musculoskeletal and chest/ribs radiographs across specified views
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05

Labeled fracture views include extremities, pelvis, ribs, and spine; dislocation and effusion indications are narrower.

Clearance type
510(k)
  • FDA source
  • Exact FDA submission
  • Checked 2026-08-31
Decision date
2026-05-12
  • 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
Connects to a local network using a DICOM node for CR/DX input and returns a processed image.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Deployment and data flow
Cloud platform connected to the local network
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05

Hosting region and security controls remain unverified.

Security and privacy
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-09-06

No dated, scoped security attestation was reviewed.

Training and support
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-09-06

The FDA packet says user instructions are transmitted to each user; current onboarding/support terms were not established.

Monitoring and change control
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-08-13

Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.

Family workflow context

AZmed describes Rayvolve as a fracture-detection AI tool integrated into its clinician console.

product family · checked 2026-09-05

This 2022 announcement is not proof of all 2026 functions, modalities, or integrations.

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version. Candidate literature without exact product and version linkage is not shown as product evidence.

Evidence summary
The FDA packet describes standalone and reader assessments; numeric results are not repeated here because the table endpoint/version details need a further exact extraction before comparison.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-05
Reported sensitivity
96.88% (95% CI: 96.10%, 97.51%)
  • Public source
  • Exact FDA submission
  • Checked 2026-09-01

Model sensitivity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.

Reported specificity
87.29% (95% CI: 86.21%, 88.30%)
  • Public source
  • Exact FDA submission
  • Checked 2026-09-01

Model specificity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.

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

Artificial intelligence algorithm for fracture detection in pediatric radiographs

  • DesignRetrospective external validation
  • Population2,549 pediatric emergency-department trauma patients aged 0-17 years; 5,865 radiographs
  • Scopeproduct family
  • Tested versionRayvolve family; exact K260378 configuration not established
  • Samplen=2549
  • Sites1
  • IndependenceIndependence not established

PMID:34810137 · DOI:10.1016/j.diii.2021.10.007

The study includes patients younger than the K260378 labeled age and does not establish exact-release performance.

Costs and setup

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 2026-09-06

No scoped public price or procurement award was reviewed.

Reimbursement and coding
Research pending
  • Needs research
  • Exact FDA submission
  • Checked 2026-09-06

No applicable payer policy was reviewed.

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
25Fields reviewed
10Source classes checked
9Screened PubMed leads
1Screened trial leads
0Unreviewed FDA recall leads

All stored metadata records were screened. PMID 34810137 is retained as contextual family evidence; remaining literature leads and NCT05187585 lacked exact K260378 configuration linkage or complete readable protocol/results, so no additional results were promoted. The current discovery snapshot contains 9 PubMed and 1 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, acr ai central product, fda decision material, vendor product page, literature index, trial registry, fda device recall, pubmed, clinical trials, openfda device recall

Sources & history

How this profile was documented

Open the ledger for source dates, scope, and research-record updates.

View source ledger and history

Source ledger

  1. FDA 510(k) K260378: Rayvolve

    U.S. Food and Drug Administration - Published 2026-05-12 - Accessed 2026-09-05

    Scope: identity, clinicalUse, modality, anatomy, input, output, limitations, integration, deployment, evidenceSummary

  2. Artificial Intelligence-Enabled Medical Devices

    U.S. Food and Drug Administration - Accessed 2026-08-31

    Scope: regulatoryIdentity, modalityContext

  3. Rayvolve model card (K260378)

    American College of Radiology - Published 2026-08-17 - Accessed 2026-09-01

    Scope: intendedUsers, careSetting, output, limitations, reportedSensitivity, reportedSpecificity, evidenceSummary, integration, anatomy, evidenceStudies, implementationCapabilities

  4. PubMed biomedical literature index

    U.S. National Library of Medicine - Accessed 2026-09-01

    Scope: evidenceDiscovery

  5. ClinicalTrials.gov study registry

    U.S. National Library of Medicine - Accessed 2026-09-01

    Scope: evidenceDiscovery, studyStatus

  6. openFDA Device Recall API

    U.S. Food and Drug Administration - Accessed 2026-09-02

    Scope: recallDiscovery, nativeSubmissionMatching

  7. AZmed's AI Tool Rayvolve Gains FDA Clearance for Fracture Detection

    AZmed - Published 2022-06-22 - Accessed 2026-09-05

    Scope: productFamilyWorkflow, implementationCapabilities

  8. Artificial intelligence algorithm for fracture detection in pediatric radiographs

    Diagnostic and Interventional Imaging; abstract via PubMed - Published 2021-11-19 - Accessed 2026-09-05

    Scope: contextualEvidenceStudy

Research history

  1. K260378 FDA decision

    Regulatory record

    510(k)

  2. Source-review record updated

    Research record

    human reviewed

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