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PMID: 36563013 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Comment

Toward bedside computation of myocardial infarction risk using noninvasive analysis of patients living with coronary artery disease.

American journal of physiology. Heart and circulatory physiology ·Vol. 324 ·No. 1 ·2023-00-01 ·页码 H172-H174

Kekenes-Huskey PM

Abstract

暂无摘要

Keywords

computed tomography angiography coronary artery disease machine learning myocardial infarction stenosis

MeSH 主题词

Humans Coronary Artery Disease Deep Learning Coronary Stenosis Myocardial Infarction/diagnosis

作者与单位

共 1 位作者，点击展开单位 / ORCID

Kekenes-Huskey Peter Michael ORCID

Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Chicago, Illinois.

Article Info

Journal

American journal of physiology. Heart and circulatory physiology

Abbr.

Am J Physiol Heart Circ Physiol

ISSN

1522-1539

DOI

Published

2023-00-01

电子出版

2022-00-23

页码

H172-H174

Language

English

Country/Region

United States

NLM ID

100901228

基金资助

NIGMS NIH HHS · R35 GM124977 · United States

勘误 / 撤稿关联

CommentOn

PMID: 36269648

External Links

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