
Truveta
Saving lives with data by providing regulatory-grade safety and effectiveness data.

AI-powered digital heart disease evaluation for proactive plaque analysis and risk management.

Cleerly represents the 2026 benchmark for preventative cardiology, utilizing sophisticated deep learning algorithms to perform comprehensive Coronary Computed Tomography Angiography (CCTA) analysis. Unlike traditional stress tests that measure ischemia (blood flow limitation), Cleerly's architecture focuses on the underlying cause: coronary artery disease (CAD) and specific plaque types. The system identifies, characterizes, and quantifies plaque—specifically low-density non-calcified plaque (LD-NCP), which is the primary predictor of future heart attacks. By 2026, Cleerly's position has matured into a standard-of-care tool within integrated health systems, moving from reactive diagnostics to a proactive, data-driven wellness model. The technical engine automates the tedious vessel segmentation and plaque labeling processes, reducing variability and providing clinicians with a 3D digital twin of a patient’s coronary anatomy. This allows for precision treatment paths based on actual disease volume rather than symptomatic response. Its market position is solidified by massive clinical validation and FDA clearances, making it an essential platform for value-based care organizations aiming to reduce cardiovascular events and associated costs.
Cleerly represents the 2026 benchmark for preventative cardiology, utilizing sophisticated deep learning algorithms to perform comprehensive Coronary Computed Tomography Angiography (CCTA) analysis.
Explore all tools that specialize in plaque quantification. This domain focus ensures Cleerly delivers optimized results for this specific requirement.
Uses convolutional neural networks (CNNs) to automatically map the entire coronary tree with sub-millimeter precision.
Distinguishes between calcified, non-calcified, and low-density non-calcified plaque based on Hounsfield Unit (HU) mapping.
Automated calculation of percentage narrowing in every major coronary vessel and branch.
Creates a high-fidelity interactive model of the patient's heart for surgical planning.
Algorithmic comparison of sequential scans to track disease progression or regression over time.
Inherent detection of image artifacts (motion, calcification blooming) that might skew results.
Dynamic report generation that parses data into structured formats compatible with HL7 and FHIR standards.
Institutional partnership agreement and data privacy (HIPAA/GDPR) compliance sign-off.
Integration of Cleerly's cloud-based processing engine with the local hospital PACS (Picture Archiving and Communication System).
Configuration of secure DICOM gateway for automated scan transmission.
Clinical staff training on CCTA acquisition protocols to optimize AI analysis quality.
User account setup for cardiologists and radiologists via institutional SSO.
Integration of Cleerly findings into the Electronic Health Record (EHR) systems.
Pilot phase execution with baseline scan analysis and report validation.
Review of reporting templates to ensure alignment with institutional billing and clinical workflows.
Launch of patient-facing report interface for care coordination.
Ongoing performance monitoring and quarterly clinical review sessions.
All Set
Ready to go
Verified feedback from other users.
"Highly regarded by cardiologists for its ability to visualize soft plaque and provide actionable reports, though initial implementation costs are high."
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