Radiology Artificial Intelligence: Bringing Theory to Clinical Practice

被引：5
作者：
Chong, Jaron [1 ]
Patlas, Michael N. [2 ]
机构：
[1] Western Univ, Dept Med Imaging, London, ON, Canada
[2] McMaster Univ, Dept Radiol, Hamilton, ON, Canada
来源：
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES | 2021年 / 72卷 / 01期
关键词：
D O I：
10.1177/0846537120959875
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页码：6 / 6
页数：1
相关论文
共 2 条
[1]   Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology [J].
Tang, An ;
Tam, Roger ;
Cadrin-Chenevert, Alexandre ;
Guest, Will ;
Chong, Jaron ;
Barfett, Joseph ;
Chepelev, Leonid ;
Cairns, Robyn ;
Mitchell, J. Ross ;
Cicero, Mark D. ;
Poudrette, Manuel Gaudreau ;
Jaremko, Jacob L. ;
Reinhold, Caroline ;
Gallix, Benoit ;
Gray, Bruce ;
Geis, Raym .
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2018, 69 (02) :120-135
[2]   Canadian Radiology in the Age of Artificial Intelligence: A Golden Opportunity [J].
van der Pol, Christian B. ;
Patlas, Michael N. .
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2020, 71 (02) :127-128
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