CBS 2019
CBSMD教育中心
English

推荐文献

科研文章

荐读文献

A Test in Context: E/A and E/e' to Assess Diastolic Dysfunction and LV Filling Pressure Geometry as a Confounder When Assessing Ventricular Systolic Function: Comparison Between Ejection Fraction and Strain Long-Term Outcomes in Women and Men Following Percutaneous Coronary Intervention Basic Biology of Oxidative Stress and the Cardiovascular System: Part 1 of a 3-Part Series A Combination of Allogeneic Stem Cells Promotes Cardiac Regeneration Heart Failure With Preserved, Borderline, and Reduced Ejection Fraction: 5-Year Outcomes Pulmonary Artery Pressure-Guided Management of Patients With Heart Failure and Reduced Ejection Fraction Association Between Living in Food Deserts and Cardiovascular Risk 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure Burden of 30-Day Readmissions After Percutaneous Coronary Intervention in 833,344 Patients in the United States: Predictors, Causes, and Cost
|<<... 4 5 6 7 8 9 10 ...>>|

Review ArticleVolume 12, Issue 14, July 2019

JOURNAL：JACC Cardiovasc Interv. Article Link

Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance

P Sardar, JD Abbott, A Kundu et al. Keywords: artificial intelligence; interventional cardiology

ABSTRACT

Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep machine learning) has allowed for enhancement of cognitive output (i.e., visual imaging interpretation) to previously unseen levels and promises to fundamentally change the practice of medicine. This field, known as “artificial intelligence” (AI), is making significant progress in areas such as automated clinical decision making, medical imaging analysis, and interventional procedures, and has the potential to dramatically influence the practice of interventional cardiology. The unique nature of interventional cardiology makes it an ideal target for the development of AI-based technologies designed to improve real-time clinical decision making, streamline workflow in the catheterization laboratory, and standardize catheter-based procedures through advanced robotics. This review provides an introduction to AI by highlighting its scope, potential applications, and limitations in interventional cardiology.

>CBS CBS 2019

> CBS 2019

> CBS 2019 注册

> CBS 2019 会议日程

> CBS 2019 学术征集

> CBS 2019 热点

 CBSMD

> CBSMD 网站注册

> 教育中心

> 荐读文献

> Top 10 阅读文献

> 文献导读
CBS 2019 CBS 2019 主席团 教育中心 科研动态
Copyright ⓒ CBS MD Nanjing China. All rights reserved. 京ICP备16025898号-11
联系我们| Top