Artificial intelligence is used to calculate the fractional flow reserve(CT-FFR)of coronary artery by coronary CT angiography(CCTA)data.This ability can be used to automatically detect and assess coronary stenosis,identify plaque components,and predict disease progression.It can also significantly improve the accuracy and efficiency of diagnosis.The application of artificial intelligence in CCTA also faces some challenges and problems,including the generalization ability of the algorithm,data standardization,and privacy protection.In order to further improve the practicability and efficiency of CT-FFR technology in clinical practice,in-depth research on these challenges and the development of more optimized solutions are needed.
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