
The study evaluated whether on-site computed tomography-derived fractional flow reserve (CT-FFR) using machine learning improves clinical or economic outcomes compared to standard care in patients with stable coronary artery disease. In a randomized trial of 1,216 patients, the CT-FFR care group had a significantly lower proportion of patients undergoing invasive coronary angiography without obstructive disease or requiring intervention within 90 days than the standard care group. However, there was an increased overall rate of revascularization without improvement in symptoms, quality of life, or major adverse cardiovascular events. There was also a trend towards lower costs in the CT-FFR care group.
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