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LibraryFamily 1 · Diagnostic Imaging & Pathology

Lunit INSIGHT MMG at Capio S:t Göran Hospital

Active deploymentEmerging evidence

Lunit INSIGHT MMG used for AI as an independent reader in double-reading breast cancer screening, fully replacing one of the two human readers — vendor-reported deployment at Capio S:t Göran Hospital.

ReviewedVendor case study · vcs-56c91bab5ba94dc5
What this means:
A curator has read the source and confirmed our reading of it — the classifications that let this record be compared with others — along with the AI product and the clinical use. That is a check of our work, not a judgement on the AI.
What would change it:
The pair enters the AIH factory, where clinical, technical and governance findings are worked section by section.
  1. Submitted
  2. 2Curated
  3. 3Maturing
  4. 4Validated
  5. 5Scaled
Sweden
Country
2024
Started

Plain-language summary

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Clinical context
Clinical problem
Detect a condition
Point of care
Diagnosis
Nature of AI output
A classification
Clinical specialty
Radiology
Care setting
Hospital — outpatient
Patient population
Not specified in source (vendor case study)
Intended use
Lunit INSIGHT MMG used for AI as an independent reader in double-reading breast cancer screening, fully replacing one of the two human readers — vendor-reported deployment at Capio S:t Göran Hospital.
Full study description

AI as an independent reader in double-reading breast cancer screening, fully replacing one of the two human readers. Vendor-reported deployment at Capio S:t Göran Hospital. Vendor case study reports: "Cancer detection rates increased by 15%, rising from 4.8 (traditional double reading) to 5.5 per 1,000 screened". Vendor case study reports: "11% Decrease in Recall Rates: Recall rates dropped from 2.8% to 2.5%". Vendor case study reports: "Reading time decreased by over 36%". Not independently verified. Source: https://www.lunit.io/en/media-hub/real-world-validation-lunit-ai-proven-successful-in-1-year-breast-cancer-screening-deployment/

Technology
AI technique
Deep learning, Computer vision
Input data
Medical imaging
Output type
Classification
Autonomy level
Informs a human (advisory)
Model provenance
Vendor proprietary
Deployment
Status
Active deployment
Country
Sweden
Deployment date
1 January 2024
Regulatory & governance
Data identifiability
Not stated in the source

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Evidence records

Studies and evaluations attached to this use case.

  • implementation_study

    cancer_detection_rate_per_1000: 5.5

    Population: Post-implementation with AI as one of two readers, vs 4.8 per 1,000 with traditional double reading (a 15% increase). Capio S:t Goran, July 2023-March 2024. Vendor-reported (Lunit); corroborated by the hospital's own site confirming routine clinical use.

    Source

  • implementation_study

    recall_rate_percent: 2.5

    Population: Down from 2.8% pre-implementation. Same cohort/period. Vendor-reported.

    Source

  • implementation_study

    false_positive_rate_percent: 78

    Population: Down from 89.6% pre-implementation. Same cohort/period. Vendor-reported.

    Source

  • implementation_study

    reading_time_reduction_percent: 36

    Population: Reading time decreased by over 36%. Same cohort/period. Vendor-reported.

    Source

Contributors

Deploying organisation
Capio S:t Göran Hospital · Hospital / health system · Sweden
AI vendor
Lunit Inc. · South Korea
Product name
Lunit INSIGHT MMG
Source record
Vendor case study · vcs-56c91bab5ba94dc5