The non-invasive gold standard for coronary artery disease diagnosis using AI and fluid dynamics.
HeartFlow is a leader in precision heart care, utilizing a proprietary AI-powered platform to transform standard Coronary Computed Tomography Angiography (CCTA) scans into personalized 3D models of the heart's arteries. The core technology, the HeartFlow FFRct Analysis, applies advanced Computational Fluid Dynamics (CFD) and deep learning algorithms to simulate blood flow and calculate Fractional Flow Reserve (FFR) values non-invasively. By 2026, HeartFlow has expanded its suite to include comprehensive Plaque Analysis and RoadMap vessel guidance, positioning itself as the central intelligence layer for 'CT-first' cardiac care strategies. The architecture operates on a secure cloud-based model where DICOM data is uploaded, processed by AI models trained on millions of data points, and validated by expert analysts. This process effectively reduces the rate of unnecessary invasive coronary angiograms by providing clinicians with both anatomical and functional insights into coronary artery disease (CAD). The platform is deeply integrated into hospital PACS systems and complies with global medical standards, including FDA 510(k) clearances and CE marking, ensuring high-fidelity diagnostic accuracy for complex clinical decision-making.
HeartFlow is a leader in precision heart care, utilizing a proprietary AI-powered platform to transform standard Coronary Computed Tomography Angiography (CCTA) scans into personalized 3D models of the heart's arteries.
Explore all tools that specialize in ffrct simulation. This domain focus ensures HeartFlow delivers optimized results for this specific requirement.
Uses computational fluid dynamics to calculate pressure drops across stenoses without invasive wires.
Automated quantification and characterization of calcified and non-calcified plaque volumes.
AI-driven color-coded guidance overlaying the entire coronary tree to identify narrowing.
Neural networks trained on over 20 million images for precise anatomical lumen tracking.
Scalable GPU-accelerated infrastructure for complex fluid simulation processing.
Web-based interface allowing clinicians to rotate and inspect vessels in 3D space.
Automated delivery of structured diagnostic data into Epic or Cerner platforms.
Institutional review and HIPAA/GDPR data sharing agreement execution.
Technical site assessment of CT scanner capabilities and protocols.
Installation of HeartFlow Connect for secure DICOM transfer.
Configuration of PACS/RIS integration for automated image routing.
Radiologist and Technologist training on optimized CCTA acquisition.
User account provisioning for the HeartFlow Case Manager portal.
Pilot phase: Submission of initial cases for quality calibration.
Review of AI-generated 3D models and FFRct values by HeartFlow analysts.
Integration of HeartFlow reports into the Electronic Health Record (EHR).
Full clinical rollout for stable chest pain patient pathways.
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Verified feedback from other users.
"Clinicians highly value the reduction in invasive procedures, though some note the turnaround time as a bottleneck for emergency use."
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