1. A method for planning treatment for arterial stenotic lesions, comprising: identifying a set of stenotic lesions in a patient's coronary arteries from medical image data of the patient; generating a plurality of treatment options for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented; calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option using machine learning or computer based simulation of blood flow and pressure; and ranking the plurality of treatment options based on the predicted hemodynamic metrics for the set of stenotic lesions calculated for each of the plurality of treatment options and a number of stents in the stenting configuration corresponding to each of the plurality of treatment options.