Artificial intelligence in coronary computed tomography angiography
Pengpeng Xu, T Y Liu, Fan Zhou, Qian Chen, Jacob M. Rowe, Christian Tesche, Long Jiang Zhang
Abstract
The rapid development of artificial intelligence (AI) technologies, like machine learning, deep learning, and other algorithms applied to the intelligent diagnostic and decision making, image interpretation, accurate classification, and prognostication of cardiovascular diseases, has led to broad application prospects and innovation potential. The digital and intelligent management model of cardiovascular disease is expected to improve the management level and efficiency of diseases and provide patients with more accurate, safe, and appropriate diagnosis and treatment methods. This review systematically introduces the common AI techniques in the field of cardiovascular computed tomography (CT), summarizes the current research and application progress of AI in cardiovascular CT, and provides its future perspectives.