Lunit INSIGHT
JSON twin: https://www.healthaidb.com/software/lunit-insight.json
Company Name
Lunit
Product URL
https://lunit.io/en//
Company URL
https://lunit.io
Categories
Summary
Lunit INSIGHT is an AI-powered medical imaging software developed by Lunit, designed to assist healthcare professionals in the early detection and diagnosis of various cancers through advanced image analysis.
Description
Lunit INSIGHT offers AI solutions for mammography, chest X-rays, and digital breast tomosynthesis, enhancing diagnostic accuracy and workflow efficiency. It provides real-time analysis, lesion detection, and abnormality scoring to support clinicians in making informed decisions.
Api Available
yes
Certifications
- CE mark
- FDA 510(k)
- MFDS approval
- ISO 13485:2016
- ISO/IEC 27001
- MDSAP
Company Founding
2013
Company Offices
Compliance
- HIPAA
- GDPR
- ISO 27001
- ISO 13485
- MDSAP
- CE mark
- FDA 510(k)
- MFDS
Customers
Data Residency
US and EU region hosting options; cloud region selection/BYO cloud region possible (on-prem available)
Data Standards
- DICOM
- HL7 v2
- FHIR
- SNOMED CT
- ICD-10
Deployment Model
Features
- Automated detection of 11 chest X-ray findings
- Quantitative breast density assessment
- Triaging/worklist prioritization
- Batch screening analytics
- Abnormality score per lesion and per breast
- Lesion localization with heatmap and contour overlays
- Detection and classification of soft tissue lesions and calcifications
- Best 3D slice selection for suspicious lesions
- In-app customizable viewer
- Support for DICOM GSPS, DICOM SR, DICOM Secondary Capture outputs
- Worklist ordering/prioritization
- Click-and-jump to best visible slice
- Faster tomo reading via highlighted lesions and best-slice display
- Support for automatic and on-demand analysis triggers
- Processing time typically 1–10 minutes
Id
SW1702
Integration Partners
Integrations
- PACS
- RIS
- Clinical Information Systems (CIS)
- Fujifilm
- GE Healthcare
- Philips
- Sectra
- Agfa
- Infinite
- Merative
- Blackford Analysis
- Deepc
- AI marketplaces/distribution platforms
Languages Supported
- English
- Korean
- Chinese
- Dutch
- Portuguese
- Arabic
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Triage/notification module (INSIGHT CXR Triage)
- DualScan/CXR4 advanced engine (normal-flagging + fracture detection)
- Current-prior comparison/progression tracking
- Automated normal report generation
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- BAA available
- De-identification/anonymization support
- Data minimization options
Product Code
SW1702
Product Name
Lunit INSIGHT
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Data encryption in transit
- Data encryption at rest
- Role-based access control (RBAC)
- Audit logs
- SSO/SAML support
- Vulnerability management/bug bounty
Specialties
Support Channels
System Requirements
Browser for web viewer; server deployment via dedicated hardware or VM/Docker; supports integration with PACS/RIS/CIS (specific HW/DB requirements per deployment)
Target Users
- clinicians
- radiologists
- oncologists
- healthcare administrators
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "Lunit INSIGHT",
"company_name": "Lunit",
"product_url": "https://lunit.io/en//",
"company_url": "https://lunit.io",
"related_urls": [
"https://elion.health/products/lunit"
],
"product_code": "SW1702",
"summary": "Lunit INSIGHT is an AI-powered medical imaging software developed by Lunit, designed to assist healthcare professionals in the early detection and diagnosis of various cancers through advanced image analysis.",
"description": "Lunit INSIGHT offers AI solutions for mammography, chest X-rays, and digital breast tomosynthesis, enhancing diagnostic accuracy and workflow efficiency. It provides real-time analysis, lesion detection, and abnormality scoring to support clinicians in making informed decisions.",
"categories": [
"diagnostic Support",
"clinical Care",
"radiology",
"oncology Care",
"Diagnostic",
"Clinical",
"Radiology",
"Oncology"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"clinicians",
"radiologists",
"oncologists",
"healthcare administrators"
],
"specialties": [
"Breast Cancer",
"Lung Cancer",
"Tuberculosis",
"Pneumothorax",
"Pleural Effusion",
"Atelectasis",
"Pneumoperitoneum",
"Cardiomegaly",
"Mediastinal Widening",
"Calcification",
"Fibrosis",
"Acute Bone Fracture",
"Dense Breast Tissue",
"Fatty Breast Tissue",
"Mammography",
"Chest X-ray",
"Digital Breast Tomosynthesis",
"Immunotherapy",
"Precision Medicine"
],
"regions_available": [
"United States",
"South Korea",
"European Union",
"Canada",
"Australia",
"New Zealand",
"Brazil",
"Saudi Arabia",
"China",
"Netherlands"
],
"languages_supported": [
"English",
"Korean",
"Chinese",
"Dutch",
"Portuguese",
"Arabic"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"South Korea",
"United States",
"Netherlands",
"China"
],
"company_founding": "2013",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"Linux",
"Windows"
],
"features": [
"Automated detection of 11 chest X-ray findings",
"Quantitative breast density assessment",
"Triaging/worklist prioritization",
"Batch screening analytics",
"Abnormality score per lesion and per breast",
"Lesion localization with heatmap and contour overlays",
"Detection and classification of soft tissue lesions and calcifications",
"Best 3D slice selection for suspicious lesions",
"In-app customizable viewer",
"Support for DICOM GSPS, DICOM SR, DICOM Secondary Capture outputs",
"Worklist ordering/prioritization",
"Click-and-jump to best visible slice",
"Faster tomo reading via highlighted lesions and best-slice display",
"Support for automatic and on-demand analysis triggers",
"Processing time typically 1–10 minutes"
],
"optional_modules": [
"Triage/notification module (INSIGHT CXR Triage)",
"DualScan/CXR4 advanced engine (normal-flagging + fracture detection)",
"Current-prior comparison/progression tracking",
"Automated normal report generation"
],
"integrations": [
"PACS",
"RIS",
"Clinical Information Systems (CIS)",
"Fujifilm",
"GE Healthcare",
"Philips",
"Sectra",
"Agfa",
"Infinite",
"Merative",
"Blackford Analysis",
"Deepc",
"AI marketplaces/distribution platforms"
],
"data_standards": [
"DICOM",
"HL7 v2",
"FHIR",
"SNOMED CT",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "Browser for web viewer; server deployment via dedicated hardware or VM/Docker; supports integration with PACS/RIS/CIS (specific HW/DB requirements per deployment)",
"compliance": [
"HIPAA",
"GDPR",
"ISO 27001",
"ISO 13485",
"MDSAP",
"CE mark",
"FDA 510(k)",
"MFDS"
],
"certifications": [
"CE mark",
"FDA 510(k)",
"MFDS approval",
"ISO 13485:2016",
"ISO/IEC 27001",
"MDSAP"
],
"security_features": [
"Data encryption in transit",
"Data encryption at rest",
"Role-based access control (RBAC)",
"Audit logs",
"SSO/SAML support",
"Vulnerability management/bug bounty"
],
"privacy_features": [
"BAA available",
"De-identification/anonymization support",
"Data minimization options"
],
"data_residency": "US and EU region hosting options; cloud region selection/BYO cloud region possible (on-prem available)",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW1702",
"slug": "lunit-insight",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/lunit-insight.json"
}
}