Artificial intelligence-assisted:A novel approach to clinical decision-making in cardiovascular disease managementWU Di481-484
Artificial intelligence electrocardiograms have expanded new horizons in clinical diagnosis and treatmentWANG Hong-yu, CAO Chun-ge485-489
Integrin subunit alpha 2 gene polymorphisms,susceptibility to chronic total occlusion of coronary arteries,and disease prediction model:An academic investigationLYU Tong-wei, ZHANG Jing-yu, KAN Tong, HOU Pan, LI Pan, GUO Zhi-fu490-496
Research on recognition model of vasovagal syncope by artificial intelligence technology based on positive reaction of electrocardiogramCHANG Chao, LUO Jia-wei, TAN Jian, LIU Gui-zhi, ZHANG Jing-hua, FAN Hao-yi, FU Bing-chao, YAN Shu-mei, ZHANG Yang-hui497-501
Analysis of the clinical value of deep learning algorithms in electrocardiogram diagnosisCAO Chun-ge, SHEN Rui-qi, LIU Shu-jing, WANG Ya-nan, LI Jun-wei, YANG Cui-wei, WANG Hong-yu502-509
Establishment and validation of predictive model for major adverse cardiovascular events after percutaneous coronary intervention in patients with coronary artery disease based on quantitative parameters of ambulatory electrocardiographyMEN Li, LIU Rui, YANG Long, CHEN Bing-xin, YIN Ting-ting, SHI Jiang-rong, Bilali PAIZULA, FAN Ping510-518
Advances in application of machine learning in heart failure with preserved ejection fractionCUI Pei-jie, LIU Yong-ming, GAO Wen-long519-524
Application Progress of Artificial Intelligence-Enabled ElectrocardiogramWANG Fu-jun, MI Yan, ZHOU Fang, WANG Chun-ting525-529
Application progress of artificial intelligence-enabled coronary computed tomography angiography in interventional therapy of coronary heart diseaseXU Xiao-die, ZHAO Ze-kai, SUN Lin-bing, LI Ting, WANG Xi-ming, SONG Pei-ji530-535
Disease burden of non-rheumatic valvular heart disease from 1992 to 2021 in ChinaLI Fan, JIA Qing-lan, YANG Jia-lu, CAO Xue, TIAN Yi-xin, Nuerguli TUERDI, ZHENG Cong-yi, WANG Xin, TIAN Ye, WANG Wei, WANG Zeng-wu, WANG Yu-ping536-541
