SYSTEMS, METHODS AND DEVICE FOR SCREENING AND DIAGNOSIS OF CARDIOVASCULAR DISEASE

Abstract

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

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