When it comes to managing and treating myocardial infarction (MI), the lack of a true picture of a patient's risk often means patients aren't getting the most appropriate care at the right time, whether it's prescribing the correct statin dose or not adding other drugs known to reduce the risk of coronary artery disease (CAD). New technologies on the horizon show promise in being able to identify MI risk and provide a powerful assist in getting more of the right preventive care to the right patient sooner. To that end, the ACC is collaborating with Cleerly, a New York City-based startup, to integrate their state-of-the-art deep machine learning framework involving an image-based care paradigm into CAD prevention programs to leverage the insights from coronary computed tomographic angiography on atherosclerotic burden, type and progression into actionable knowledge to guide therapy and improve outcomes. Read more.

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