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Every claim we hold, and how far we can stand behind it.

142 claims across 39 products. 28% are confirmed against the source text by the evidence gate; 39% come from a class with no vendor interest. Everything below is browsable, filterable, and available as JSON.

Evidence classClaimsConfirmedWhat it can support
Peer-reviewed study195Reviewed before publication; assess study quality, funding, conflicts, and relevance to your setting.
Regulatory filing40A statement made to a regulator, where being wrong has consequences.
Independent report329Reporting outside a vendor publication; assess underlying data, sponsorship, and conflicts separately.
Customer case43A real deployment, but selected and framed by someone with an interest.
Press release6322The vendor's own announcement. Useful for dates and facts, not for outcomes.
Vendor page201Marketing copy. Establishes what is claimed, never that it is true.

Showing 2 of 2 matching claims (142 in the full corpus) · 0% of this selection is confirmed · clear filters

  1. Prospective multi-centre study (Open Forum Infectious Diseases, 2026) of qXR version 3 AI-based chest X-ray screening across 3 public health facilities in Chhattisgarh, India: of 2,745 CXRs screened, 363 patients were presumptive for TB and 162 confirmed cases were found (44.63% positivity among presumptive cases), and an 80.21% increase in TB case notifications was observed during the AI-implemented period versus baseline (P < .001).

    qXR (Chest X-ray AI Suite)Peer-reviewed studyUnverifiedOpen source ↗
    Provenance
    Claim ID
    clm_326a114cde5f51400f91
    Version
    1
    Workflow
    Imaging & Diagnostic AI
    Dimension
    evidence strength
    Retrieved
    2026-08-27
    Reviewer
    healthit-gate-v1
    Source URL
    https://pmc.ncbi.nlm.nih.gov/articles/PMC12810203/
  2. Multi-country head-to-head accuracy comparison (Annals of the American Thoracic Society, 2026) of 7 automated chest X-ray algorithms on 3,901 chest X-rays from India, Madagascar, the Philippines, South Africa, Tanzania, Uganda, and Vietnam found qXR achieved the WHO minimum target accuracy for a tuberculosis triage test (>=90% sensitivity with >=70% specificity), with specificity of 70% or greater at 90% sensitivity.

    qXR (Chest X-ray AI Suite)Peer-reviewed studyUnverifiedOpen source ↗
    Provenance
    Claim ID
    clm_36833a1aa15ec821791a
    Version
    1
    Workflow
    Imaging & Diagnostic AI
    Dimension
    evidence strength
    Retrieved
    2026-08-27
    Reviewer
    healthit-gate-v1
    Source URL
    https://doi.org/10.1093/annalsats/aaoag011
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