心房颤动
四分位间距
移植
肾移植
冠状动脉疾病
射血分数
透析
狭窄
心脏病学
医学
心脏移植
计算机科学
无症状的
亚临床感染
内科学
心力衰竭
算法
作者
Niv Pencovich,Byron H. Smith,Zachi I. Attia,Francisco López-Jiménez,Andrew Bentall,Carrie A. Schinstock,Hasan Khamash,Caroline C. Jadlowiec,Tambi Jarmi,Shennen A. Mao,Walter D. Park,Tayyab S. Diwan,Paul A. Friedman,Mark D. Stegall
出处
期刊:Transplantation
[Ovid Technologies (Wolters Kluwer)]
日期:2024-04-01
卷期号:108 (9): 1976-1985
标识
DOI:10.1097/tp.0000000000005023
摘要
Predicting long-term mortality postkidney transplantation (KT) using baseline clinical data presents significant challenges. This study aims to evaluate the predictive power of artificial intelligence (AI)-enabled analysis of preoperative electrocardiograms (ECGs) in forecasting long-term mortality following KT.
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