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Lunit INSIGHT

Lunit · Screening + hospital · Cloud + on-prem

Imaging & Diagnostic AI

FDA-cleared mammography (DBT), chest X-ray, and CT algorithms with published detection-performance studies and broad international deployment.

Evidence at a glance

Freshness, source-checked counts, confidence and gate results below reflect the frozen evidence snapshot through . A later editorial review does not update these results.

Stated intended users
Imaging centers, hospital radiology, screening programs
Documentary gate at snapshot
Failed
Scenario match
Matches this scenario — FDA-cleared imaging AI platforms
Comparability
Not yet comparable in this scenario
Decision readiness at snapshot
HISTORICAL — Research only
Documented evidence at snapshot
0 of 2 evidence claims source-checked · confidence Low
Critical unknowns
No critical documentary gaps identified
Latest checked-source retrieval in snapshot
not yet measured

Expand each claim to inspect its source, dates and recorded verification status.

independent reportLunit INSIGHT DBT (V1.2) FDA clearance listed March 2026 on the FDA AI-enabled device list.2026-03-26

Exact claim. Lunit INSIGHT DBT (V1.2) FDA clearance listed March 2026 on the FDA AI-enabled device list.

Source
fda.gov
Type
independent report
Published
2026-03-26
Retrieved
2026-08-27
Verification
unverified
Confidence
not stated
Reviewer
healthit-gate-v1
Claim version
v1
Supports
trust_governance
Score contribution
Feeds trust governance

Independent source. Methodology and sample vary by report; read the underlying method.

Open fda.gov
peer reviewed studyLunit INSIGHT MMG (Lancet Digital Health 2020): the AI algorithm was developed and validated on 170,230 mammography examinations from five i…2020-03-01

Exact claim. Lunit INSIGHT MMG (Lancet Digital Health 2020): the AI algorithm was developed and validated on 170,230 mammography examinations from five institutions; in a multicentre, observer-blinded reader study of 320 mammograms read by 14 radiologists, AI performance (AUROC 0.940) significantly exceeded radiologists without assistance (AUROC 0.810, p<0.0001), and AI assistance improved radiologists' performance to AUROC 0.881 (p<0.0001).

Source
doi.org
Type
peer reviewed study
Published
2020-03-01
Retrieved
2026-08-27
Verification
unverified
Confidence
not stated
Reviewer
healthit-gate-v1
Claim version
v1
Supports
evidence_strength
Score contribution
Feeds evidence strength

Peer-reviewed. Check population, setting, and applicability to your workflow before generalizing.

Open doi.org

Verified provider experience is not yet publishable. Fewer than five independent provider organizations have contributed eligible reviews. Reviewer mode is off. Experience never changes documentary scoring, freshness, or rank.

Buyer lenses — evidence-backed bands at snapshot (not a 0–100 rank)
Clinical · Thinner · missing deployment_traction, economic_value, market_durability
Operations · Thinner · missing deployment_traction, economic_value
Security & Privacy · Moderate · missing deployment_traction, market_durability
IT & Interop · Thinner · missing deployment_traction, market_durability
Finance & Procurement · Thinner · missing deployment_traction, economic_value, market_durability
Strategic · Thinner · missing deployment_traction, market_durability
Deployment, integration, data handling at snapshot
Integration maturity
live — Listed on an EHR marketplace/partner program — live distribution.
EHR path
DICOM/PACS integration
FHIR / API
UNKNOWN
Why unknown

Why. No reliable source on file. The platform does not infer values from weak sources.

What would close it. A primary source or independent verification.

SSO
UNKNOWN
Why unknown

Why. Single-sign-on support is not documented in vendor or marketplace materials on file.

What would close it. Vendor security documentation or marketplace listing mentioning SSO/SAML/OIDC.

PHI / BAA
Imaging under BAA for US deployments · BAA available
Security attestations
ISO 13485, CE MDR
FDA status
CLEARED
Pricing
Not publicly listed
Technical provenance

snap_36bba25c577cbb44 · Evidence cutoff: 2026-08-27T04:05Z · Snapshot generated: 2026-10-21T19:39Z · build ffbf5c3

Forecast calibration is not in the public snapshot — shown as UNKNOWN rather than read from SQLite.

Known limitations
  • Deployment traction is UNKNOWN.
    Why unknown

    Why. No reliable source on file. The platform does not infer values from weak sources.

    What would close it. A primary source or independent verification.

  • Economic value evidence is UNKNOWN.
    Why unknown

    Why. No independently verifiable ROI claim (peer-reviewed, audited case, or independent benchmark) is on file.

    What would close it. An audited implementation report or peer-reviewed study with payback/throughput numbers.

  • Market durability is UNKNOWN.
    Why unknown

    Why. No reliable source on file. The platform does not infer values from weak sources.

    What would close it. A primary source or independent verification.

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