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Bringing AI
Precision to Angio

  • Bringing AI Precision to Angiography in Real-Time
  • Anatomical & Functional Assessment of CAD
  • Detection of Microvascular Disease
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Surgeons reviewing AngioInsight software

Current Challenges We Address

Coronary Artery Disease (CAD)

  • Leading Cause of Death: CAD remains the #1 killer.
  • Prevalence: Over 20.5 million U.S. adults suffer from CAD, making it the most common form of heart disease.1
  • Diagnostic Inaccuracy:
    • Over 2.2 million CAD patients undergo angiography annually to evaluate blood vessel blockages.2
    • Nearly 2 million of these patients receive a diagnosis based on subjective physician visual assessments of angiograms.3

1. National Institutes of Health (NIH) Heart Disease and Stroke Statistics—2023 Update: Circulation Volume 147, Number 8

2. American Heart Association. "Heart Disease and Stroke Statistics—2021. Circulation 2021 Feb 23;143(8):e254-e743. doi: 10.1161/CIR.0000000000000950. Epub 2021 Jan 27.

3. PubMed Journal of the American College of Cardiology, 59(9), 857-881. J Am Coll Cardiol 2017 May 2;69(17):2212-2241. doi: 10.1016/j.jacc.2017.02.001. Epub 2017 Mar 10.

Coronary Artery Disease (CAD)
Coronary Artery Disease (CAD)
Microvascular Disease (MVD)
Microvascular Disease (MVD)

Microvascular Disease (MVD)

  • Diagnostic Challenges: MVD is difficult to identify due to nonspecific symptoms such as chest pain, shortness of breath, and fatigue, which overlap with other cardiac conditions.
  • Limitations of Angiography: This method often fails to detect abnormalities in small blood vessels.
  • Underdiagnosis and Misdiagnosis: MVD is frequently underdiagnosed or misdiagnosed, leading to treatment delays, particularly in women.
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AngioAI+ Brings Precision AI to Angiography

AngioInsight improves clinical outcomes by using precise AI diagnosis and optimal management for both coronary artery and microvascular disease, aiming to reduce the cost of care through AI’s accuracy and efficiency.

Real-time, quantitative assessment of stenosis
Non-invasive measure of blood flow across stenosis
Provides rapid and accurate flow and anatomy data
Detection of microvascular disease
Automated Streamline Workflow