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AVIEW CAC

Key Features

  • Agatston
  • Arterial age
  • Automatic segmentation
  • CAC score per branch
  • Mass score
  • Volume

General Information

Product name

AVIEW CAC

Subspeciality

Chest

Modality

CT

Disease targeted

Coronary Artery Disease

Main task

Not specified

Technical Specifications

Population

All adult chest CT

Patient population age

Not specified

Input

Non enhanced, Cardiac gated CT

Input format

DICOM

Output

Score card with CAC score per branch, arterial age, Agatston, Volume, Mass score

Output format

Encapsulated DICOM, PDF, Secondary Capture

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Server based, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

11-2017

AI Platforms

Alma Health Platform, Blackford Analysis, Deepc, Sectra, TeraRecon

Resellers

RMS Medical Devices

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

One-off payment, Subscription

Based on

Number of installations, Number of users

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging

Source: vendor | First published: Apr 22, 2022 | Last updated: Jul 10, 2025