ClearRead CT CAC
Overview
ClearRead CT CAC is an AI-powered software solution developed by Riverain Technologies, designed to enable opportunistic screening for coronary artery calcification (CAC) from routine, ungated, non-contrast chest CT scans. It is part of the broader ClearRead CT suite, which also includes tools for pulmonary nodule detection and vessel suppression.
The technology leverages advanced artificial intelligence algorithms to accurately detect, quantify, and report Agatston scores and risk levels for CAC. This capability allows healthcare providers to assess cardiac risk in patients undergoing CT scans for other indications, potentially leading to earlier intervention for atherosclerotic cardiovascular disease. Clinical studies have demonstrated high agreement between ClearRead CT CAC and both ground truth radiologists and paired gated cardiac exams. The software is designed for seamless integration into existing PACS workflows and offers normalization capabilities to ensure consistent results across various CT systems.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Accurate detection and quantification of Coronary Artery Calcification (CAC)
- Calculates Agatston scores on ungated, non-contrast CTs
- Enables opportunistic screening for atherosclerotic cardiovascular disease
- High agreement with ground truth radiologists and gated cardiac CTs
- Normalization for consistent results across CT systems
- Seamless integration with existing PACS workflow
- Part of ClearRead CT suite (includes pulmonary nodule detection, vessel suppression)
- AI-powered precision for cardiac risk assessment
- Reduces radiology reading time (general ClearRead CT benefit)
- Provides risk level reporting
Use Cases
- Opportunistic screening for coronary heart disease from routine chest CTs
- Early detection and assessment of cardiac risk
- Enhancing lung cancer screening programs with CAC scoring
- Improving diagnostic accuracy and efficiency in radiology workflow
- Preventing patient leakage by offering comprehensive cardiac risk assessment
What Physicians Need to Know
Leverage ClearRead CT CAC for opportunistic screening of coronary artery disease in patients undergoing routine chest CTs, particularly within lung cancer screening programs. The automated Agatston score and arterial age calculation can aid in identifying at-risk individuals who might otherwise go undetected, facilitating earlier discussions about preventive strategies and adherence to AHA/ACC guidelines for cardiovascular risk management. This can help prevent patient leakage and improve overall cardiac health outcomes.
ClearRead CT CAC is designed for seamless integration into existing imaging workflows. It provides output in DICOM format, which is readable in PACS, and supports pre-populated reports. The solution is compatible with ungated, non-contrast standard, and low-dose chest CT exams across various CT systems. It is also integrated into enterprise AI infrastructures like deepcOS and available through marketplaces such as CARPL.ai, ensuring interoperability and efficient deployment within hospital systems.
Details
| Category | Cardiology AI |
| Pricing | Contact vendor for pricing details |
| Deployment | On-premise (stand-alone server, virtual machine) or cloud-based; enterprise-wide deployment on any acquisition device and any PACS. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated ClearRead CT CAC received FDA clearance (K242188) for providing coronary artery calcium (CAC) scores for ungated, non-contrast CT scans. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
What the Web Says
ClearRead CT CAC, developed by Riverain Technologies, is an AI-powered software designed to assist radiologists in detecting and quantifying coronary artery calcification (CAC) from routine non-gated CT scans. Reviews highlight its potential to improve early detection of cardiovascular disease by providing automated and objective CAC scoring, which can be a valuable indicator for patient risk stratification. The technology aims to integrate seamlessly into existing workflows, offering a more efficient and consistent approach to identifying CAC compared to manual methods.
Overall: PositiveStrengths
- Automated and objective CAC scoring from non-gated CT scans, reducing variability.
- Potential for earlier detection of cardiovascular disease in asymptomatic patients.
- Improved workflow efficiency for radiologists by automating a time-consuming task.
- Integration into existing PACS and reporting systems, minimizing disruption.
- Enhances risk stratification for patients by providing quantitative CAC data.
- May reduce the need for dedicated cardiac CT scans in some cases.
Limitations
- Initial investment cost for the software and potential integration challenges.
- Requires validation and trust from radiologists in the AI's accuracy and reliability.
- Potential for false positives or negatives, requiring radiologist oversight.
- May add to the cognitive load if radiologists feel compelled to re-evaluate every AI finding.
- Limited information available on long-term clinical outcomes directly attributable to its use.
- Specific performance metrics and comparative studies against other methods are not always readily available in public reviews.
Based on reviews from: Riverain Technologies Website, Radiology Journals and Publications (e.g., Journal of Thoracic Imaging, American Journal of Roentgenology), Healthcare IT News, Vendor-agnostic medical imaging forums (e.g., AuntMinnie.com), Professional medical society discussions (e.g., RSNA presentations), LinkedIn discussions among healthcare professionals
Last updated: 2026-07-20
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for ClearRead CT CAC.
RSNA 2025 u2013 Interview with Riverain Technologies
The Imaging Wire
