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
ClearRead CT CAC is particularly useful for opportunistic screening of coronary artery calcification on non-gated, non-contrast chest CT scans, which are often performed for other indications like lung cancer screening. This allows for early detection of cardiovascular risk in a broader patient population who might otherwise go undetected. The Agatston score provided by the software is a strong predictor of future cardiac events. The technology's ability to normalize images ensures consistent results across different CT systems. It can help in identifying patients who may benefit from earlier intervention and more aggressive management of cardiovascular risk factors.
ClearRead CT CAC is part of the ClearRead CT cardiothoracic AI suite. It is designed to integrate seamlessly into existing radiology workflows and PACS review stations, eliminating the need for dedicated workstations. The output is generated in DICOM format. The ClearRead Chest suite, which includes CAC analysis, is available through platforms like RapidAI's Rapid Enterprise Platform and CARPL.ai, expanding access to its advanced imaging intelligence within unified enterprise workflows. This integration aims to reduce fragmentation, accelerate action, and improve efficiency with features like automatic segmentation, measurement, comparison with prior exams, and reporting integration into RIS-PACS.
Details
| Category | Cardiology AI |
| Pricing | Subscription-based, with a saas cost per scan model available. |
| Free Trial | Unknown |
| Deployment | On-premise and cloud options. |
| Mobile App | Yes, ClearRead Chest will integrate with RapidAI's mobile and web applications. |
| Data Export | Unknown |
| Training | Unknown |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Cleared AI-estimated |
| SOC 2 | Yes AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
Support & Reliability
| Training Provided | Unknown |
What the Web Says
ClearRead CT CAC by Riverain Technologies is an AI-powered software designed for opportunistic screening of coronary artery calcification (CAC) by detecting, quantifying, and reporting Agatston scores from routine, ungated, non-contrast chest CT scans. It aims to broaden screening for atherosclerotic cardiovascular disease by enabling the calculation of Agatston scores on non-gated CTs, which traditionally required specialized cardiac-gated CTs. The software has shown high agreement with both ground-truth radiologists and paired cardiac-gated CTs in clinical studies.
Overall: PositiveStrengths
- Accurately detects, quantifies, and reports Agatston scores from routine, ungated, non-contrast chest CT scans.
- High agreement (96%) with ground-truth radiologists for CAC scoring.
- High agreement (90%) with paired cardiac-gated CTs for CAC scoring.
- Enables opportunistic screening for coronary artery disease, identifying risk in patients undergoing CT scans for other reasons.
- Can reduce reading times for radiologists.
- FDA 510(k) cleared and Health Canada approved.
Limitations
- Limited public product reviews outside of scientific studies and comparisons.
- No reviews found on Capterra or Reddit.
- G2 and Capterra show reviews for other companies with similar names, not Riverain Technologies.
- Provided segmentations are for illustrative purposes only and not intended for diagnostic use.
- Provides adjunctive information and is not intended to be used without clinical expert review.
Based on reviews from: physicianaitools.com, auntminnie.com, riveraintech.com, cardiovascularbusiness.com, theimagingwire.com, aidoc.com, signifyresearch.net, fda.gov, theaiinsider.tech, nih.gov, medrxiv.org
Last updated: 2026-10-31
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate ClearRead CT CAC
Press & Coverage
Videos
Product demos, reviews, and walkthroughs for ClearRead CT CAC.
RSNA 2025 u2013 Interview with Riverain Technologies
The Imaging Wire
