Aid interpreting physicians in detecting, localizing, and characterizing suspicious breast-cancer areas on mammograms from compatible FFDM systems, viewed after the physician completes the initial read.
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
Aid interpreting physicians in detecting, localizing, and characterizing suspicious breast-cancer areas on mammograms from compatible FFDM systems, viewed after the physician completes the initial read.
Screening mammograms from compatible full-field digital mammography systems, received as DICOM images from a PACS or other radiological imaging equipment.
Visualized lesion maps/heatmaps, finding-level lesion scores from 1-100, and a per-breast abnormality score based on the maximum of the CC and MLO view scores; analysis results are converted to DICOM for storage.
Use is limited to screening mammograms from compatible FFDM systems and the female screening population described in the packet. The output is adjunctive after the initial read and is not a replacement for complete physician review, clinical judgment, or other patient/image information. DBT is not established in this packet.
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Use these fields to structure a vendor demo, security review, and implementation estimate.
Integration
The software receives mammograms from a client image-storage system such as PACS or other radiological equipment, de-identifies DICOM copies, and saves DICOM results to a designated location such as PACS or an X-ray system. Exact interface versions, routing, and local compatibility are not established.
Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.
ACR AI Central provides an exact-submission model card for Lunit INSIGHT MMG; FDA labeling remains controlling for clinical use, limitations, and performance.
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
FDA K211678 reports standalone testing on 2,412 mammograms acquired on Hologic, GE Healthcare, and Siemens systems, using an independent dataset. Standalone ROC AUC was 0.903 (95% CI 0.889-0.917), with sensitivity 85.74% (95% CI 82.95%-88.53%) and specificity 75.62% (95% CI 73.64%-77.60%); LROC AUC values were 0.781 and 0.792. A separate U.S. retrospective MRMC reader study used 240 mammograms and 12 MQSA-qualified readers: ROC AUC was 0.754 unaided versus 0.805 aided, a 0.051 difference (95% CI 0.027-0.075; p=0.0001). Reader sensitivity and non-cancer recall-rate deltas were exploratory and are distinct from standalone algorithm sensitivity/specificity.
Standalone Lunit INSIGHT MMG sensitivity: 85.74% (95% CI 82.95%-88.53%) on 2,412 screening mammograms; the separate reader-study cancer-group recall-rate difference was 5.97 percentage points.
FDA source
Exact FDA submission
Checked 2026-09-09
The standalone algorithm endpoint must remain separate from the aided-versus-unaided reader-study delta and ROC AUC.
Standalone Lunit INSIGHT MMG specificity: 75.62% (95% CI 73.64%-77.60%) on 2,412 screening mammograms; the separate reader-study non-cancer recall-rate difference was -1.46 percentage points.
FDA source
Exact FDA submission
Checked 2026-09-09
This is the standalone algorithm endpoint; reader-study recall, ROC AUC, and LROC AUC are distinct and must not be substituted.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
Lunit INSIGHT MMG regulatory performance study summary
DesignStand-alone performance and reader study (ACR AI Central category)
PopulationPopulation described in the exact-submission ACR model card
Scopeexact submission
Tested versionExact product version not reported; regulatory study summarized for FDA submission K211678
Samplen=2412
IndependenceIndependence not established
K211678
ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.
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 2026-09-09
No public price or quote for the exact K211678 configuration was established in this review.
Reimbursement and coding
Not established in reviewed sources
Reviewed sources checked
Exact FDA submission
Checked 2026-09-09
No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.
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
The exact-identifier FDA recall query returned no native recall record for K211678. 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.
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 K211678 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.
This audit distinguishes completed source review from fields that have not yet been researched.
Exact FDA record reviewedStatus
2026-09-09Last searched
24Fields reviewed
9Source classes checked
0Awaiting review PubMed leads
4Awaiting review trial leads
0Unreviewed FDA recall leads
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 0 PubMed and 4 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
Sources & history
How this profile was documented
Open the ledger for source dates, scope, and research-record updates.
View source ledger and history7 sources - 2 history items
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