Artificial Intelligence Analysis of ECG to Determine Fractional Flow Reserve (FFR)

Abstract excerpt

<h4>Background</h4> The current gold standard of coronary artery disease (CAD) diagnosis is invasive angiography, during which fractional flow reserve (FFR) measurement may be performed to confirm the clinical significance of a stenosis. The yield of routine and indiscriminate FFR in identifying hemodynamically significant stenoses is low. To combat this, we have developed an artificial intelligence model - ECGio...

Topics

Open a Topic to create a Post that cites this publication.

• Artificial Intelligence
• Computed Tomography Angiography
• Coronary Stenosis
• Coronary Vessels
• Diagnosis, Computer-Assisted
• Machine Learning
• Myocardial Ischemia
• Plaque, Atherosclerotic

Identifiers and source

Literature Corpus work

4baa2d4b-27b2-5264-b883-aa6defbf0b90

DOI

10.1101/2024.08.27.24312672