HeartFlow AI Cardiac

HeartFlow AI Cardiac

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HeartFlow uses AI to transform CCTA scans into 3D heart models, enabling personalized CAD diagnosis, blood flow assessment, and plaque analysis for cardiologists.

About

HeartFlow is a pioneering AI platform in cardiac care, purpose-built to transform how coronary artery disease (CAD) is identified, assessed, and managed over a patient's lifetime. By combining coronary CT angiography (CCTA) with its proprietary AI analysis suite — branded as Heartflow One — it converts standard CT scans into rich, interactive 3D models of the coronary anatomy and physiology. The platform offers three core analysis modules: Roadmap Analysis for fast, consistent early CAD detection across CCTA readers; FFR CT Analysis, which non-invasively evaluates blood flow and guides revascularization decisions anywhere in the coronary tree; and Plaque Analysis, which quantifies and characterizes coronary plaque to inform long-term risk stratification and disease management. HeartFlow addresses critical failures of conventional diagnostics — such as 20–30% false negatives from stress EKG and 55% false positives from methods like stress echo — by providing objective, patient-specific data. The platform is designed for cardiologists, interventional cardiology teams, and healthcare institutions seeking to build scalable CCTA programs. With over 600,000 patients treated, more than 1,800 institutions using the platform, and 600+ peer-reviewed publications backing its clinical validity, HeartFlow is widely recognized as a clinically validated standard for AI-driven coronary care. It also provides implementation support covering clinical, operational, technical, and financial dimensions.

Key Features

  • Roadmap Analysis: Rapidly and consistently reads every CCTA scan for early, accurate detection of coronary artery disease across all readers.
  • FFR CT Analysis: Non-invasively assesses blood flow throughout the coronary tree to determine whether revascularization will benefit the patient.
  • Plaque Analysis: Quantifies and characterizes coronary plaque composition and burden to support long-term risk stratification and disease management.
  • 3D Personalized Heart Modeling: Converts standard CCTA scans into dynamic, patient-specific 3D cardiac models that reveal both anatomy and physiology.
  • Heartflow Support Program: Provides clinical, operational, technical, and financial resources to help healthcare institutions build and grow efficient CCTA programs.

Use Cases

  • Non-invasive pre-procedural coronary blood flow assessment to determine if a patient needs revascularization surgery or stenting.
  • Early and accurate detection of coronary artery disease from routine CCTA scans using AI-assisted reading.
  • Long-term plaque risk stratification and disease management for patients with suspected or confirmed CAD.
  • Building and scaling hospital-based CCTA programs with clinical, operational, and financial support from HeartFlow.
  • Personalizing treatment pathways for individual cardiac patients by replacing generic risk markers with patient-specific 3D cardiac data.

Pros

  • Clinically validated at scale: Backed by 600+ peer-reviewed publications and deployed across 1,800+ institutions, with 600,000+ patients treated.
  • Reduces unnecessary procedures: Dramatically cuts false positives and false negatives compared to conventional stress testing, preventing unnecessary invasive procedures.
  • Comprehensive CAD management: Covers the full care continuum — from identification to decision-making to long-term disease management — in a single platform.
  • Broad insurance coverage: Supported by 99.5% of US lives covered under reimbursement, making it accessible across most patients.

Cons

  • Enterprise-only pricing: Designed exclusively for hospitals and cardiology practices; not accessible to individual patients or small clinics without institutional contracts.
  • Requires CCTA infrastructure: Analysis depends on coronary CT angiography scans, requiring institutions to have or invest in compatible imaging equipment and workflows.
  • Limited geographic availability: Currently available primarily in the United States and Japan, restricting access for international healthcare systems.

Frequently Asked Questions

What is HeartFlow and how does it work?

HeartFlow is an AI-powered cardiac analysis platform that takes coronary CT angiography (CCTA) scans and transforms them into detailed 3D models of a patient's heart. Using computational fluid dynamics and machine learning, it non-invasively assesses coronary anatomy, blood flow, and plaque characteristics to guide clinical decision-making.

Who uses HeartFlow?

HeartFlow is used by cardiologists, interventional cardiology teams, and healthcare institutions — including hospitals and cardiac imaging centers — that perform CCTA scans and need precise, personalized insights for diagnosing and managing coronary artery disease.

What is FFR CT Analysis?

FFR CT (Fractional Flow Reserve from CT) Analysis is HeartFlow's non-invasive tool that simulates blood flow in the coronary arteries from a CT scan. It helps clinicians determine whether a blockage is functionally significant enough to require intervention, avoiding the need for invasive catheterization in many cases.

Is HeartFlow covered by insurance?

Yes — HeartFlow reports that 99.5% of US lives are covered under reimbursement, making the technology financially viable for a broad patient population across most major insurance plans.

How does HeartFlow improve on conventional cardiac diagnostics?

Traditional methods like stress EKG and stress echo have significant error rates — up to 30% false negatives and 55% false positives. HeartFlow's AI-driven analysis provides objective, patient-specific anatomical and physiological data that reduces diagnostic errors, prevents unnecessary procedures, and enables more personalized treatment planning.

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