AVIEW CAC

by Coreline Soft  · Based in South Korea → — AI-based analysis software that automatically calculates coronary artery calcium scores and provides information that can support the assessment of coronary artery disease-related risk.
Cardiology Radiology
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Regulatory Status Disclosed

Overview

AVIEW CAC by Coreline Soft Co. is an artificial intelligence-based software designed for the automated detection, segmentation, and quantification of coronary artery calcification (CAC). The tool utilizes deep learning algorithms to analyze cardiac structures and isolate calcified plaques within the coronary arteries. It generates quantitative metrics, including Agatston, volume, and mass scores, as well as vessel-specific breakdowns and age- and sex-adjusted percentiles.

The software is designed for radiologists, cardiologists, and imaging technologists operating in hospitals, imaging centers, and cardiovascular clinics. It is applicable to both dedicated electrocardiogram (ECG)-gated cardiac CT scans and routine, non-gated low-dose chest CT (LDCT) examinations, allowing clinicians to assess cardiovascular risk from scans performed for other diagnostic purposes.

AVIEW CAC integrates into standard clinical workflows by receiving DICOM data directly from CT scanners or Picture Archiving and Communication Systems (PACS). It processes images automatically or on-demand, returning structured scorecards and secondary capture reports directly to the PACS or radiological information systems (RIS) within minutes. Notable capabilities include:

  • Atlas-guided deep learning to segment cardiac anatomy and minimize the misclassification of non-coronary calcium.
  • Multi-modality compatibility supporting both ECG-gated and non-gated chest CT scans.
  • Automated reporting that provides standardized, color-coded risk classifications and vessel-by-vessel Agatston scoring.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated coronary artery calcium (CAC) scoring
  • Segmentation of four main coronary arteries (LM, LAD, LCX, RCA)
  • Quantitative analysis of calcified plaques
  • Agatston, volume, and mass score per branch
  • Risk and age analysis by vessel
  • Analysis from cardiac CT and chest CT images (including low-dose CT)
  • Proprietary kernel conversion technology for improved accuracy
  • Automatic report generation (PDF, CSV)
  • Integration with PACS and RIS systems
  • Web browser access

Use Cases

  • Early detection of coronary artery disease
  • Cardiovascular risk assessment and stratification
  • Streamlining radiology workflows and reducing interpretation time
  • Supporting patient communication and understanding of diagnosis
  • Research purposes (data export to CSV)
  • Population-based cardiovascular screening

What Physicians Need to Know

Cardiac CT/MRI Analysis
AVIEW CAC is a CT-based AI analysis software that quantifies coronary artery calcification (CAC) and assesses the risk of coronary artery disease. It automatically segments the heart and surrounding structures to analyze calcified plaques in coronary arteries. The software can analyze coronary artery calcification from both heart CT images and chest CT images, aiding in early detection. It provides a comprehensive coronary artery calcification score, including Agatston, volume, mass, and MESA scores. AVIEW CAC can automatically segment the LM, LAD, LCX, and RCA coronary arteries and analyze calcified plaques to derive quantitative results. The software also provides 3D views and cross-sectional imaging. It has been validated for use with non-gated LDCT as well as ECG-gated CSCT, demonstrating high consistency. AVIEW CAC version 1.1 uses an atlas-guided approach with deep learning-based semantic segmentation to identify coronary calcium and minimize misclassification of non-coronary calcium. It also supports the analysis of aortic dissection and aortic measurement.
Coronary Artery Assessment
AVIEW CAC quantifies coronary artery calcification and measures the risk of coronary artery disease. It automatically segments the heart and surrounding structures to accurately analyze calcified plaques in coronary arteries. The software provides a coronary artery calcification score for each blood vessel and offers risk distribution by age group according to clinical criteria and blood vessel age. It can quantify coronary artery calcification from both heart CT images and chest CT images. The system predicts risk using classification methods like CAC-DRS, which is considered better for risk prediction than solely using Agatston scores on non-contrast and non-cardiac CT scans. It also provides general recommendations for further management. AVIEW CAC automatically calculates coronary artery calcium scores and provides risk-related information based on analysis results, along with reference information for healthcare professionals when reviewing coronary artery disease-related risk.
Arrhythmia Detection Accuracy
The AI diagnostic accuracy of AVIEW CAC is 99.2%, as evaluated through the Robinsca clinical examination of 997 non-contrast ECG CT images. The system demonstrates high concordance with the Agatston score (87%) and detection and classification concordance (95%).
Heart Failure Risk Prediction
AVIEW CAC provides risk stratification based on calcium score, gender, and age, offering percentile-based risk categories by established guidelines. It provides numerical information related to risk assessment and reference information that healthcare professionals can use when reviewing coronary artery disease-related risk. The software predicts risk using the latest classification methods, such as CAC-DRS.
AHA/ACC Guideline Alignment
The 2026 ACC/AHA Multisociety Guideline on the Management of Dyslipidemia expanded the role of coronary artery calcium (CAC) in lipid-lowering treatment decisions. AVIEW CAC provides risk stratification based on established guidelines.
Cardiac Monitoring Integration
AVIEW CAC integrates into standard reading environments and complies with DICOM and TCP/IP protocols. It facilitates easy data exchange with hospital PACS and imaging equipment, allowing data access through a web browser. The analyzed results and reports can be conveniently checked in PACS. AVIEW CAC version 1.1 automatically generates total and vessel-specific Agatston, volume, and mass scores, plus age- and sex-based percentile risk stratification, and uploads them to PACS (INFINITT G7) alongside the original CT data. Coreline Soft is collaborating with INFINITT North America to develop PACS-integrated, “zero-click” automation.
Physician Tip

AVIEW CAC can be a valuable tool for early detection and risk assessment of coronary artery disease, even from routine chest CT scans. The ability to quantify coronary artery calcification from non-cardiac CTs can reduce the need for additional ECG-gated CTs, potentially improving patient experience and reducing costs. The automated segmentation and comprehensive scoring (Agatston, volume, mass, MESA, CAC-DRS) provide detailed insights for treatment and management decisions. The integration with PACS and web-based access allows for efficient workflow and convenient review of results. Consider utilizing the detailed reports and risk stratification information to enhance patient communication and shared decision-making regarding cardiovascular health.

AVIEW CAC integrates with standard reading environments, including PACS, and supports DICOM and TCP/IP protocols for seamless data exchange with medical equipment. It offers web-based access for reviewing data. Coreline Soft is actively collaborating with INFINITT North America for PACS-integrated, 'zero-click' automation. The platform is also part of a broader AVIEW platform that integrates with other AI solutions for thoracic diagnostics, such as lung-cancer screening (LCS) and COPD quantification, into a streamlined pipeline.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Subscription or one-off payment
DeploymentCloud-based, hybrid solution, locally on dedicated hardware, or locally virtualized (virtual machine, Docker). It can also be integrated into standard reading environments (PACS) and RIS.
Mobile AppYes
API AvailableUnknown
Data ExportUnknown
Compliance
BAA AvailableUnknown
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Radiology

What the Web Says

AVIEW CAC by Coreline Soft is an AI-powered solution for automatically calculating coronary artery calcium (CAC) scores from non-contrast chest CT scans. It provides risk-related information and reference data for healthcare professionals to review coronary artery disease risks. The software has demonstrated high accuracy in population studies and has received FDA 510(k) clearance. It aims to contribute to the early detection and treatment of cardiovascular diseases by identifying and managing coronary artery calcification. Coreline Soft is expanding its reach by integrating AVIEW CAC into teleradiology environments and collaborating with other healthcare platforms.

Overall: Positive

Strengths

  • Automatically calculates coronary artery calcium scores.
  • Provides risk-related information based on analysis results.
  • Offers reference information for reviewing coronary artery disease-related risk.
  • Demonstrated 99.2% accuracy in a population study for risk categorization.
  • Received FDA 510(k) clearance.
  • Enables early detection and treatment of cardiovascular diseases.

Limitations

  • No specific cons were found in the provided search results regarding AVIEW CAC by Coreline Soft.
  • Some general discussions on Reddit about CAC scans mention potential for anxiety due to high scores and the modest improvement in risk prediction over standard calculators.
  • One Reddit user expressed regret over getting a CAC scan due to increased anxiety, despite already following healthy lifestyle recommendations.

Based on reviews from: Capterra, G2, TrustRadius, AuntMinnie.com, BusinessWire, Korea Biomedical Review, Morningstar, Medical Device Network, corelinesoft.com, Reddit, AJR Online

Last updated: 2026-10-29

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Press & Coverage

corelinesoft.com
Coreline Soft Receives U.S. FDA 510(k) Clearance for AVIEW Aorta Metrics, Expanding Its Chest CT AI Portfolio in the U.S.
Coreline Soft announced it received FDA 510(k) clearance for AVIEW Aorta Metrics, expanding its AI portfolio to include quantitative aortic assessment alongside its existing lung nodule detection and coronary artery calcium (CAC) analysis solutions like AVIEW CAC. This marks the company's 13th FDA clearance and supports its multi-disease analysis strategy for chest CT imaging in the U.S. market.
2026-10
corelinesoft.co.kr
Coreline Soft and Mint Medical Announce Partnership to Advance AI-Enabled Lung Cancer Screening
Coreline Soft partnered with Mint Medical to integrate its AVIEW AI imaging platform into Mint Medical's mint Lesion platform, aiming to enhance AI-enabled lung cancer screening workflows. This collaboration supports an end-to-end process from AI-powered nodule detection and multi-disease analysis, which includes AVIEW CAC, to structured reporting and multi-site reading management.
2026-10
corelinesoft.com
Coreline Soft to Showcase AI-Powered Chest CT Solutions at RANZCR 2026
Coreline Soft will present its AVIEW platform and AI-powered chest CT solutions, including AVIEW CAC for coronary artery calcium assessment, at RANZCR 2026. The company will highlight how its AI technology supports quantitative imaging insights for respiratory and cardiovascular findings and its efforts to integrate these solutions into clinical practice.
2026-10
corelinesoft.com
Coreline Soft to Exhibit AI-Driven Chest CT Analysis Platform at AOCR 2026
Coreline Soft will showcase its AVIEW platform, featuring AVIEW CAC for automated coronary artery calcium scoring, at AOCR 2026 in Singapore. The company will demonstrate how AVIEW supports lung nodule assessment, quantitative COPD analysis, and cardiovascular risk assessment within chest CT workflows.
2026-08
corelinesoft.com
AI-based fully automated coronary artery calcium scoring system implementation at Wonkwang University Hospital
A paper reported on the real-world implementation of Coreline Soft's AI-based fully automated coronary artery calcium (CAC) scoring system, AVIEW CAC, at Wonkwang University Hospital. The study highlights the system's application to ECG-gated non-contrast cardiac CT examinations and its seamless PACS integration for high-workload cardiovascular imaging.
2026-04
ajronline.org
Coreline Soft's AVIEW CAC: FDA-Approved AI for Coronary Artery Calcium Analysis
A study published in AJR mentions AVIEW CAC as one of two commercially available automated AI software applications for coronary artery calcium analysis, noting that only AVIEW CAC is approved by the U.S. FDA and is fully automated. The research compared its performance in analyzing CAC from low-dose chest CT scans.
2025-03
mk.co.kr
Coreline Soft Obtains FDA 510(k) Clearance for AVIEW CAC
Coreline Soft announced it received FDA 510(k) clearance for AVIEW CAC, its AI-based automatic coronary calcification solution. This approval is significant as it recognizes AVIEW CAC's ability to quantitatively analyze coronary calcification from both cardiac CT and non-gated chest CT scans, aiding in early detection and treatment of heart diseases.
2024-04
businesswire.com
Coreline Soft AI Coronary Artery Calcium solution 'AVIEW CAC' showed 99.2% accuracy from a population study by iDNA
Coreline Soft's AVIEW CAC demonstrated 99.2% accuracy in a population study conducted by the Institute for Diagnostic Accuracy (iDNA), part of the NELSON trial team. The study, published in the Journal of the American College of Cardiology (JACC), validated the AI solution's performance in automatically scoring coronary artery calcium for cardiovascular risk categorization.
2021-10

Videos

Product demos, reviews, and walkthroughs for AVIEW CAC.

View all on YouTube

Frequently Asked Questions

AVIEW CAC uses deep learning AI to quantify coronary artery calcification (CAC) from CT images, which is a key indicator for diagnosing coronary artery disease. It automatically segments the heart and surrounding structures to accurately analyze calcified plaques, providing a quantitative coronary artery calcification index. This helps cardiologists in risk stratification and patient management.
AVIEW CAC has received FDA 510(k) clearance, CE Mark, and approvals from other regulatory bodies such as MFDS, PMDA, TFDA, TGA, HSA, and ANVISA. This indicates that the software meets established standards for safety and effectiveness in its intended use.
Yes, several other AI tools are available for cardiology, including those that focus on coronary artery calcium scoring. Some examples include Aidoc's AI-powered CAC measurement algorithm, Nanox.AI cardiac solution, and other AI tools that analyze routine chest CTs for CAC. These tools aim to improve the detection and management of cardiovascular risk.
While AVIEW CAC offers high accuracy in detecting and quantifying CAC, its use may be limited to CT scans acquired on GE Healthcare scanners according to some sources. Additionally, like many AI tools, it is intended to be used by medical experts who are knowledgeable about patient anatomy.
Yes, AVIEW CAC can perform quantitative analysis using chest CT scans, including non-contrast/non-gated chest CT scans, which broadens its clinical application beyond traditional cardiac CT scans. This allows for opportunistic screening of a wider population for cardiovascular risk, potentially leading to earlier detection and intervention without the need for additional dedicated cardiac imaging.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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