计算机辅助设计
医学
内科学
心脏病学
价值(数学)
计算机科学
工程类
机器学习
工程制图
作者
Jorge Dahdal,Ruurt Jukema,Teemu Maaniitty,Nick S. Nurmohamed,Pieter G. Raijmakers,Roel Hoek,Roel S. Driessen,Jos W. R. Twisk,Sarah Bär,R. Nils Planken,Niels van Royen,Robin Nijveldt,J. J. Bax,Antti Saraste,Alexander R. van Rosendael,Paul Knaapen,Juhani Knuuti,Ibrahim Danad
标识
DOI:10.1093/ehjci/jeaf093
摘要
AI-driven assessment of coronary plaque burden enhances prognostic accuracy for future adverse cardiovascular events, highlighting the critical role of comprehensive plaque characterization in refining risk stratification strategies.
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