Pro: Can We Use Artificial Intelligence-Derived Algorithms to Guide Patient Blood Management Decision-Making?

被引：2

作者：

Ahmed, Aamer ^{[1
,2
,3
]}

机构：

[1] Univ Hosp Leicester Natl Hlth Serv Trust, Dept Anaesthesia & Crit Care, Leicester, England

[2] Univ Leicester, Dept Cardiovasc Sci, Leicester, England

[3] Univ Hosp Leicester NHS Trust, Glenfield Hosp, Dept Anaesthesia & Crit Care, Groby Rd, Leicester LE3 9QP, England

来源：

JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA | 2023年 / 37卷 / 10期

关键词：

machine learning; artificial intelligence; patient blood management; clinical decision support system; electronic medical records; neural networks; cardiac surgery; RISK; TRANSFUSION;

D O I：

10.1053/j.jvca.2023.05.045

中图分类号：

R614 [麻醉学];

学科分类号：

100217 ;

摘要：

引用

页码：2141 / 2144

页数：4

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