Adapting to Artificial Intelligence Radiologists and Pathologists as Information Specialists

被引:369
作者
Jha, Saurabh [1 ]
Topol, Eric J. [2 ]
机构
[1] Univ Penn, Dept Radiol, 3400 Spruce St, Philadelphia, PA 19104 USA
[2] Scripps Res Inst, La Jolla, CA 92037 USA
来源
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2016年 / 316卷 / 22期
关键词
D O I
10.1001/jama.2016.17438
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
[No abstract available]
引用
收藏
页码:2353 / 2354
页数:2
相关论文
共 9 条
[1]  
[Anonymous], 2014, LUNG RADS VERSION 1
[2]   The End of Radiology? Three Threats to the Future Practice of Radiology [J].
Chockley, Katie ;
Emanuel, Ezekiel .
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2016, 13 (12) :1415-1420
[3]   Radiomics: Images Are More than Pictures, They Are Data [J].
Gillies, Robert J. ;
Kinahan, Paul E. ;
Hricak, Hedvig .
RADIOLOGY, 2016, 278 (02) :563-577
[4]  
Jha S, 2016, MEDSCAPE
[5]   Pigeons (Columba livia) as Trainable Observers of Pathology and Radiology Breast Cancer Images [J].
Levenson, Richard M. ;
Krupinski, Elizabeth A. ;
Navarro, Victor M. ;
Wasserman, Edward A. .
PLOS ONE, 2015, 10 (11)
[6]   LOGICAL ANALYSIS IN ROENTGEN DIAGNOSIS - MEMORIAL FUND LECTURE [J].
LUSTED, LB .
RADIOLOGY, 1960, 74 (02) :178-193
[7]  
McMillan Robert, 2015, WALL STREET J
[8]  
The Economist, 2016, ECONOMIST
[9]   Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features [J].
Yu, Kun-Hsing ;
Zhang, Ce ;
Berry, Gerald J. ;
Altman, Russ B. ;
Re, Christopher ;
Rubin, Daniel L. ;
Snyder, Michael .
NATURE COMMUNICATIONS, 2016, 7