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AI-powered non-invasive heart disease assessment with clinical validation
Analyze CT scans to quantify plaque volume and composition; Detect ischemia in coronary vessels using AI; Reduce invasive testing by identifying high-risk patients; Validate ischemia prediction with FFR measurements; Compare non-invasive results to invasive FFR; Support clinical decision-making with actionable insights
Validated in CREDENCE and PACIFIC trials; Outperformed FFRCT and SPECT in predicting MACE events; Recognized as Best in Class by Digital Health Awards; Named a Top 50 in Digital Health by RHIA; Awarded Fierce 15 in AI Breakthroughs; Provides clinical insights with 3D stenosis and plaque characterization
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