AVIEW CAC

by Coreline Soft Co.  · Based in South Korea →AI-driven diagnostic solutions for medical imaging
Cardiology Radiology

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 an AI-powered solution for quantitative analysis of coronary artery calcification (CAC) from non-contrast/non-gated chest CT scans and cardiac CT images. It automatically segments the heart and surrounding structures, including the four main coronary arteries (LM, LAD, LCX, RCA), to quantify calcified plaques.
Coronary Artery Assessment
The tool automatically segments the left main, left anterior descending, left circumflex, and right coronary arteries, providing Agatston, volume, and mass scores for each vessel and a total score. It also offers risk distribution by age group.
Arrhythmia Detection Accuracy
While AVIEW CAC processes non-contrast ECG CT images for calcium scoring, its primary function is not arrhythmia detection. The 'ECG' in the input refers to the CT acquisition protocol.
Heart Failure Risk Prediction
AVIEW CAC provides risk stratification based on calcium score, gender, and age, offering percentile-based risk categories according to established guidelines. Research suggests AI-derived features from CAC scans can contribute to heart failure risk prediction.
Accuracy
AVIEW CAC demonstrates high accuracy in CAC detection and quantification, with reported diagnostic accuracy of 99.2% in population studies and excellent reliability for Agatston scores.
Cardiac Monitoring Integration
The solution integrates with standard reading environments like PACS and RIS via DICOM and HL7 protocols, allowing direct transfer of DICOM data from medical equipment. It also supports access through web browsers and mobile devices.
AHA/ACC Guideline Alignment
AVIEW CAC provides risk stratification based on calcium score, gender, and age, aligning with established clinical guidelines for cardiovascular risk assessment.
Real-Time Alert Capability
As part of the broader AVIEW platform, which is being adopted in emergency care settings, AVIEW CAC contributes to systems with real-time alert capabilities to detect risk signals and accelerate decision-making.
Physician Tip

Leverage AVIEW CAC for efficient and accurate automated coronary artery calcium scoring from both dedicated cardiac CT and non-gated chest CT scans. Utilize the quantitative Agatston, volume, and mass scores, along with age and gender-based risk stratification, to enhance patient communication and guide preventive treatment strategies. The automated workflow can significantly reduce interpretation time and streamline reporting, allowing for faster clinical decision-making, particularly in high-volume settings. Consider its potential for opportunistic screening of cardiovascular disease when chest CTs are performed for other indications.

AVIEW CAC is designed for seamless integration into existing radiology workflows. It supports DICOM (TCP/IP) for data exchange with PACS and medical imaging equipment, and HL7 for integration with RIS. The platform is accessible via web browsers and mobile devices, facilitating convenient review of analyzed results and reports within the PACS system or remotely. Coreline Soft also partners with various AI platforms for broader deployment.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Unknown
DeploymentCloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker), Server-based, Stand-alone third-party application, Stand-alone web-based, PC installation
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

AVIEW CAC received FDA 510(k) clearance in April 2024, with an enhanced version receiving clearance in February 2025. It is cleared as a Class II device for quantitative analysis of calcified plaques in coronary arteries using non-contrast/non-gated Chest CT scans, enabling calculation of Agatston score and risk stratification.

Integrations
EHR Not specified
Specialties Cardiology, Radiology

What the Web Says

AVIEW CAC by Coreline Soft is an AI-powered solution for analyzing coronary artery calcification (CAC) from CT scans. It has received FDA 510(k) clearance and is designed to assist healthcare professionals, including radiologists and cardiologists, in quantitatively analyzing calcified plaques and providing risk stratification. The software aims to reduce workload and improve diagnostic accuracy and efficiency in identifying cardiovascular disease risk.

Overall: Positive

Strengths

  • High accuracy in detecting and quantifying coronary artery calcification, with reported 99.2% accuracy for risk categorization compared to expert interpretation.
  • Reduces radiologist workload and interpretation time, with one study estimating a 71.2% reduction in workload.
  • Provides quantitative CAC values comparable to those measured by professionals, without the need for heartbeat adjustment.
  • Offers automated reports with detailed calcification scores, risk analysis by vessel, and age-based percentiles, which can be easily shared with patients.
  • Can analyze existing non-contrast/non-gated chest CT studies, making it versatile for various clinical settings.
  • Integrates with PACS systems, allowing for easy storage, transfer, and access to CT data.

Limitations

  • Some studies suggest the need for optimization, particularly for detecting minimal calcium volumes.
  • Currently, the device's use is limited to CT scans acquired on General Electric (GE) or its subsidiaries' equipment, and has not been validated for other manufacturers.
  • While generally positive, some Reddit discussions about CAC scans in general indicate potential for anxiety with high scores or a false sense of security with low scores.
  • No specific cons about AVIEW CAC were found on G2 or Capterra, as there were no direct reviews for this specific product on these platforms.
  • Reddit discussions about CAC scans in general highlight that insurance often does not cover the cost, which could be a barrier for some patients.
  • Some general discussions on Reddit indicate that a CAC score only measures hard plaque, and not soft plaque, which is more likely to rupture and cause a heart attack.

Based on reviews from: Coreline Soft, KBR (Korea Biomedical Review), accessdata.fda.gov, Hckonnect, AuntMinnie, PMC (PubMed Central), Reddit (r/GenX, r/PeterAttia, r/askCardiology)

Last updated: 2026-07-17

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Press & Coverage

KBR
Coreline Soft lands FDA clearance for upgraded AI coronary calcium analysis software
Coreline Soft received FDA 510(k) clearance for an enhanced version of its AI-powered AVIEW CAC software, which uses artificial intelligence to measure coronary artery calcium (CAC) from chest CT scans, broadening its clinical application. This upgraded version improves technology integration, accessibility, and user experience.
2025-02
AuntMinnie
Coreline Soft to unveil diagnostic system for thoracic imaging - AuntMinnie
Coreline Soft plans to introduce AVIEW 2.0, a chest AI platform that combines lung-cancer screening (LCS), coronary-artery calcium (CAC) scoring, and chronic obstructive pulmonary disease (COPD) quantification into a single analytical pipeline, at RSNA 2025. The system has undergone national-scale validation in Europe and is deployed in several U.S. medical centers.
2025-11
Signify Research
AI in Medical Imaging News Round Up u2013 February 2025 | Signify Research
Coreline Soft received FDA clearance for an upgraded version of its AI-powered AVIEW CAC software in February 2025, expanding its capabilities in coronary artery calcium assessment. This news was part of a broader roundup of regulatory approvals and industry developments in AI in medical imaging.
2025-03
KBR
Coreline Soft joins AstraZeneca, Swiss KSA hospital in lung cancer AI study - KBR
Coreline Soft is participating as an AI partner in a clinical study on early lung cancer detection with Kantonsspital Aarau (KSA) and AstraZeneca Switzerland AG. This collaboration aims to assess AI's function in real clinical practice and improve diagnostic efficiency.
2026-03
Korea IT Times
Coreline Soft Secures US FDA Approval, Completes Simultaneous Validation for Four AI Core Lineup Products - Korea IT Times
Coreline Soft obtained FDA 510(k) clearance for an advanced version of its AVIEW CAC software, along with simultaneous validation for AVIEW LCS, AVIEW COPD, and Fissure Completeness. This expands their FDA certifications to a total of 11, strengthening their global market strategy.
2025-03
Conexiant
AI CAC Scoring Aids Workflow - Conexiant
In Korea, AI-based CAC scoring systems, including Coreline Soft's AVIEW CAC version 1.1, received regulatory approval in July 2021. This system uses deep learning to identify coronary calcifications and provides automated reports with Agatston, volume, and mass scores.
2026-06
BioWorld
Coreline Soft wins FDA approval, raises u20a918B in private placement | BioWorld
Coreline Soft secured U.S. FDA 510(k) clearance for its AI-based AVIEW CAC solution in April 2024, enabling it to quantify calcification in coronary arteries from both non-gated cardiac CT and chest CT imaging. This approval is significant for early diagnosis and treatment of heart disease.
2024-04
MDPI
Artificial Intelligence in Coronary Artery Calcium Scoring - MDPI
A study analyzed automatic CACS using AVIEW CAC by Coreline Soft in low-dose CT (LDCT) and gated CT across three institutions, showing substantial to almost-perfect agreement with manual scores. Another study found an incremental association between AVIEW's automated CACS and 12-year all-cause mortality in LDCT.
2024-06

Videos

Product demos, reviews, and walkthroughs for AVIEW CAC.

View all on YouTube

Frequently Asked Questions

AVIEW CAC is designed to integrate seamlessly into standard reading environments like PACS and RIS, providing automated coronary artery calcium (CAC) scoring from CT scans. It can analyze both dedicated cardiac CTs and incidental findings from non-gated chest CTs, delivering results as DICOM, PDF, or CSV files directly into the PACS system.
AVIEW CAC automates the segmentation of coronary arteries and quantifies calcified plaques, providing an Agatston score and detailed risk analysis by vessel. This AI-driven approach enhances the precision and efficiency of cardiovascular risk assessment, potentially leading to earlier detection and improved management of coronary artery disease.
AVIEW CAC has received FDA 510(k) clearance in the United States and CE certification in Europe, among other international approvals. While the search results confirm GDPR and HIPAA certifications for Coreline Soft (the developer), the software itself is designed to store, transfer, and display output results by inquiring and analyzing medical images, implying adherence to data handling standards.
AVIEW CAC offers fully automated CAC scoring, which can be more efficient and less time-consuming than manual methods, while demonstrating high agreement with expert measurements. It can also analyze non-gated chest CTs, broadening its clinical application beyond traditional cardiac CTs. Other AI solutions like Aidoc and Nanox.AI also offer automated CAC scoring with PACS integration and incidental finding detection.
AVIEW CAC offers flexible pricing models, including one-off payments or subscriptions, which can be based on the number of installations or users. Specific pricing details would typically be obtained by contacting the vendor or their resellers.
While highly accurate, AVIEW CAC, like other CAC scoring methods, cannot detect non-calcified atherosclerotic plaque, meaning a zero score doesn't entirely rule out obstructive coronary artery disease. Its use may also be limited to CT scans acquired on specific manufacturer equipment, and the reliability can vary among institutions.

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