Medical imaging and radiology
Oxipit ChestLink
CE Class IIb autonomous chest X-ray AI workflow positioned to identify normal studies and generate reports without radiologist review in selected markets.
Last updated: June 14, 2026
Back to directoryQure.ai qXR medical AI product profile
Chest X-ray AI product from Qure.ai for pre-read assistance, abnormality detection, overlays, reporting support, and triage-oriented CXR workflows.
Medical imaging and radiology
Best fit
Organizations that need chest X-ray support for high-volume radiology, emergency, ICU, lung, TB, or public-health workflows with radiologist review.
- Primary use case
- AI-assisted chest X-ray pre-read, worklist prioritization, abnormality detection, reporting support, and screening workflows
- Audience
- Radiology departments, emergency departments, public-health screening programs, teleradiology groups, and health systems evaluating chest X-ray AI
- Risk level
- High
- Pricing signal
- Enterprise, provider, and program deployments; request current module, geography, integration, and support terms.
- Official sources
- 6 official sources
Compare within workflow: Medical imaging and radiology · comparison shortlist · source index
Regulatory snapshot
| Status | FDA 510(k)-cleared qXR product family with module-specific indications, including qXR-Detect K251934 for adult chest-radiograph computer-assisted detection. |
|---|---|
| Review route | 510(k), including qXR-PTX-PE K230899 and qXR-Detect K251934. |
| Intended use | qXR-Detect analyzes adult chest radiographs, highlights suspicious regions of interest, categorizes them by region, and is intended as a concurrent reading aid rather than primary interpretation. |
| Verification note | Confirm the exact qXR module, software version, country, adult/pediatric limits, finding categories, reader role, PCCP/model-change language, and whether outputs are triage, CAD, measurement, or reporting support before deployment. |
| Source | www.accessdata.fda.gov / scripts / cdrh |
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Qure.ai qXR as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat qXR as a family of chest X-ray AI functions rather than one universal clearance; match qXR-LN, qXR-BT, qXR-PTX-PE, qXR-CTR, or any newer module to the exact indication, version, anatomy, geography, and user workflow. |
|---|---|
| Privacy | Review whether images are de-identified before cloud processing, whether deployment is cloud or on-premise, how DICOM metadata, overlays, reports, audit logs, retention, and cross-border transfers are handled, and whether contract terms cover PHI. |
| Evidence | Require local validation by finding and workflow, including scanner types, adult population, prevalence, reporting queue effects, false-positive burden, missed critical findings, and equity across deployment sites. |
| Workflow | Best governed as radiologist-reviewed chest X-ray assistance with documented worklist rules, report-review boundaries, escalation paths, downtime procedures, and post-deployment monitoring. |
Where Qure.ai qXR fits
Qure.ai describes qXR as chest X-ray AI for pre-read assistance, overlays, reporting support, abnormality detection across chest anatomy, and cloud or on-premise deployment; Qure's regulatory page lists several qXR-related FDA 510(k) clearances, FDA materials for qXR-PTX-PE describe adult chest X-ray triage that is not intended for standalone clinical decision-making, and FDA K251934 covers qXR-Detect as adult chest-radiograph CADe for concurrent reading aid use.
Not for: Standalone chest X-ray diagnosis, unsupported findings, pediatric or non-cleared use, or using a broad qXR claim without checking the exact module and intended use.
What to verify before using Qure.ai qXR
- Which qXR module, finding set, software version, and geography are in scope for the planned chest X-ray workflow.
- Whether FDA, CE, or local authorization matches the exact intended use, such as lung nodule localization, breathing-tube assessment, CTR measurement, or PTX/PE triage.
- How DICOM images and metadata route through PACS, workstations, cloud or on-premise processing, overlays, reports, and escalation queues.
- Local performance for scanner mix, disease prevalence, false positives, false negatives, missed critical findings, turnaround time, and radiologist override behavior.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- www.qure.ai / product / qxr
- www.qure.ai / regulatory-and-privacy
- www.accessdata.fda.gov / cdrh_docs / pdf23
- www.accessdata.fda.gov / scripts / cdrh
- www.qure.ai / us / news-press-coverages
- www.qure.ai / privacy-policy
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