Establish a new concept of multi-factor associated diagnosis to enhance the value of medical imaging in clinical diagnosis and treatmentWANG Zhenchang, ZHANG Peng, Lü Han, ZHAO Pengfei497-500
The development and application of artificial intelligence cardiovascular CTTANG Chunxiang, ZHANG Longjiang501-503
Using CCTA-based pericoronary adipose tissue radiomics to predict acute coronary syndromeSHANG Jin, GUO Yan, MA Yue, HOU Yang504-510
Predict hemodynamic severity of coronary artery stenosis with peri-coronary adipose tissue based radiomics and neural network modelXU Ziliang, WEN Didi, ZHAO Hongliang, ZHENG Minwen511-515
Diagnostic performance of artificial intelligence based coronary CT angiography in detecting obstructive coronary artery diseaseLIU Chunyu, XIE Yuan, SU Xiaoqin, YANG Zhenyue, CHEN Sui, ZHOU Changsheng, LI Jianhua, XU Feng516-522
Machine learning based study for evaluating the plaques characteristics of ischemia-specific artery stenosisZHANG Xiaolei, ZHANG Yuanxiu, TANG Chunxiang, HOU Yang, ZHENG Minwen, ZHANG Jiayin, ZHANG Bo, ZHANG Daimin, XU Lei, HU Xiuhua, WANG Yining, YANG Jian, LIU Hui, ZHANG Longjiang523-528
Clinical application of dynamic CT myocardial perfusion imaging analysis technique based on artificial intelligenceZHAO Runtao, DOU Guanhua, WANG Fan, WANG Kai, SHAN Dongkai, WANG Sicong, YANG Junjie529-534
Artificial intelligence in cardiovascular CT:state of the artGUO Bangjun, ZHANG Longjiang, LU Guangming535-540
Alterations of resting-state voxel-mirrored homotopic connectivity in patients with postpartum depressionZUO Bin, YANG Xiangqin, LIU Li, ZHU Lingmei547-550