Emerging computational tools including machine learning and computational fluid dynamics may help identify those patients are at greatest risk.

Lu MT et al. Noninvasive Fractional Flow Reserve Derived From Coronary CT Angiography (FFRCT): Management and Outcomes in the PROMISE Trial. JACC Cardiovasc Imaging 2017;10(11);1350-8.

Shah RV et al. Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study. JAMA Cardiol 2017;2(11):1236-1246.

Eslami P et al. Effect of Wall Elasticity on Hemodynamics and Wall Shear Stress in Patient-Specific Simulations in the Coronary Arteries. J Biomech Eng. 2019 May 10.

Lu MT et al. Deep learning to Assess Long-term Mortality from Chest Radiographs. JAMA Open 2019;2(7):e197416.


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