AVIEW CAC

JSON twin: https://www.healthaidb.com/software/aview-cac.json

Company Name

Coreline Soft

Product URL

https://www.coreline.co.kr/en/product/aview-cac

Company URL

https://www.coreline.co.kr

Categories

• clinical Care
• diagnostic Support
• cardiology
• imaging Software
• Clinical
• Diagnostic
• Medical Imaging

Summary

AVIEW CAC is an AI-powered software developed by Coreline Soft for automated coronary artery calcification analysis using chest CT scans, aiding in the detection and assessment of coronary artery disease.

Description

AVIEW CAC utilizes advanced AI algorithms to automatically segment and label cardiac structures, detect calcifications within coronary arteries, and provide comprehensive analysis, including Agatston, volume, and mass scores. It integrates seamlessly into standard reading environments, offering quick and accurate results with low inter-reader variability. The software has received FDA 510(k) clearance, CE certification, and other international approvals, demonstrating its safety and effectiveness in clinical settings.

Api Available

unknown

Certifications

• FDA 510(k)
• CE (MDR)
• MFDS
• PMDA
• TFDA
• TGA
• HSA
• ANVISA
• Health Canada

Company Founding

2012

Company Offices

• South Korea
• United States
• Germany
• France
• Japan
• Taiwan
• Australia
• Singapore
• Brazil
• Canada

Compliance

• FDA 510(k)
• CE (MDR)
• MFDS
• PMDA
• TFDA
• TGA
• HSA
• ANVISA
• Health Canada

Customers

Data Residency

South Korea, United States, European Union, United Kingdom, Australia, Singapore

Data Standards

• DICOM

Deployment Model

• cloud-based
• hybrid
• on_prem
• virtualized

Features

• Automatic coronary artery segmentation (LM, LAD, LCX, RCA)
• Agatston score
• Volume score
• Mass score
• Arterial age estimation
• Per-branch CAC scoring
• Supports non-contrast, non-gated chest CT and cardiac-gated CT
• Works on low-dose chest CT (LDCT)
• Automated report generation (PDF, CSV)
• Encapsulated DICOM / Secondary Capture output
• Integration with PACS/RIS reading workflows
• Automatic or on-demand analysis trigger
• Processing time ~1–10 minutes
• Validated against ECG-gated cardiac CT (published studies)

Id

SW0097

Integration Partners

Integrations

• PACS (standard reading environment)
• RIS
• Alma Health Platform
• Blackford Analysis
• Deepc
• Sectra
• TeraRecon
• RMS Medical Devices (reseller/platform integration)

Languages Supported

• English
• Korean
• Japanese
• Chinese
• German
• French
• Spanish
• Italian
• Portuguese

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

Os Platforms

• Web
• Server (Linux/Windows)

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW0097

Product Name

AVIEW CAC

Ratings

Regions Available

• United States
• South Korea
• Europe
• Japan
• Taiwan
• Australia
• Singapore
• Brazil
• Canada

Related Urls

• https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

Security Features

• Encryption at rest and in transit
• RBAC
• SSO/SAML
• Audit logs
• 2FA
• DLP

Specialties

• Cardiology
• Radiology

Support Channels

System Requirements

Server (Linux/Windows); supports virtualized deployment (VM, Docker); server-based or cloud deployment

Target Users

• Clinicians
• Radiologists
• Cardiologists
• Medical Imaging Professionals

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "AVIEW CAC",
  "company_name": "Coreline Soft",
  "product_url": "https://www.coreline.co.kr/en/product/aview-cac",
  "company_url": "https://www.coreline.co.kr",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0097",
  "summary": "AVIEW CAC is an AI-powered software developed by Coreline Soft for automated coronary artery calcification analysis using chest CT scans, aiding in the detection and assessment of coronary artery disease.",
  "description": "AVIEW CAC utilizes advanced AI algorithms to automatically segment and label cardiac structures, detect calcifications within coronary arteries, and provide comprehensive analysis, including Agatston, volume, and mass scores. It integrates seamlessly into standard reading environments, offering quick and accurate results with low inter-reader variability. The software has received FDA 510(k) clearance, CE certification, and other international approvals, demonstrating its safety and effectiveness in clinical settings.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "cardiology",
    "imaging Software",
    "Clinical",
    "Diagnostic",
    "Cardiology",
    "Medical Imaging"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Clinicians",
    "Radiologists",
    "Cardiologists",
    "Medical Imaging Professionals"
  ],
  "specialties": [
    "Cardiology",
    "Radiology"
  ],
  "regions_available": [
    "United States",
    "South Korea",
    "Europe",
    "Japan",
    "Taiwan",
    "Australia",
    "Singapore",
    "Brazil",
    "Canada"
  ],
  "languages_supported": [
    "English",
    "Korean",
    "Japanese",
    "Chinese",
    "German",
    "French",
    "Spanish",
    "Italian",
    "Portuguese"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "South Korea",
    "United States",
    "Germany",
    "France",
    "Japan",
    "Taiwan",
    "Australia",
    "Singapore",
    "Brazil",
    "Canada"
  ],
  "company_founding": "2012",
  "deployment_model": [
    "cloud-based",
    "hybrid",
    "on_prem",
    "virtualized"
  ],
  "os_platforms": [
    "Web",
    "Server (Linux/Windows)"
  ],
  "features": [
    "Automatic coronary artery segmentation (LM, LAD, LCX, RCA)",
    "Agatston score",
    "Volume score",
    "Mass score",
    "Arterial age estimation",
    "Per-branch CAC scoring",
    "Supports non-contrast, non-gated chest CT and cardiac-gated CT",
    "Works on low-dose chest CT (LDCT)",
    "Automated report generation (PDF, CSV)",
    "Encapsulated DICOM / Secondary Capture output",
    "Integration with PACS/RIS reading workflows",
    "Automatic or on-demand analysis trigger",
    "Processing time ~1–10 minutes",
    "Validated against ECG-gated cardiac CT (published studies)"
  ],
  "optional_modules": [],
  "integrations": [
    "PACS (standard reading environment)",
    "RIS",
    "Alma Health Platform",
    "Blackford Analysis",
    "Deepc",
    "Sectra",
    "TeraRecon",
    "RMS Medical Devices (reseller/platform integration)"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "Server (Linux/Windows); supports virtualized deployment (VM, Docker); server-based or cloud deployment",
  "compliance": [
    "FDA 510(k)",
    "CE (MDR)",
    "MFDS",
    "PMDA",
    "TFDA",
    "TGA",
    "HSA",
    "ANVISA",
    "Health Canada"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE (MDR)",
    "MFDS",
    "PMDA",
    "TFDA",
    "TGA",
    "HSA",
    "ANVISA",
    "Health Canada"
  ],
  "security_features": [
    "Encryption at rest and in transit",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "South Korea, United States, European Union, United Kingdom, Australia, Singapore",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0097",
  "slug": "aview-cac",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/aview-cac.json"
  }
}