Artificial Intelligence: Threat or Boon to Radiologists?

被引：101

作者：

Recht, Michael ^{[1
]}

Bryan, R. Nick ^{[2
]}

机构：

[1] NYU Langone Hlth, Dept Radiol, 660 First Ave,3rd Floor, New York, NY 10016 USA

[2] Univ Texas Austin, Dell Med Sch, Austin, TX 78712 USA

来源：

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY | 2017年 / 14卷 / 11期

关键词：

Machine learning; computer-assisted diagnosis/detection; value; efficiency; artificial intelligence; FUTURE;

D O I：

10.1016/j.jacr.2017.07.007

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：

The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiology. But rather than being a significant threat to radiologists, we believe these changes, particularly machine learning/artificial intelligence, will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction.

引用

页码：1476 / 1480

页数：5

共 14 条

[1]

American College of Radiology, IM 3 0 FAQ

[2]

[Anonymous], MD ANDERSON BENCHES

[3] 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

[4] Surveying Academic Radiology Department Chairs Regarding New and Effective Strategies for Medical Student Recruitment [J].

Francavilla, Michael L. ;

Arleo, Elizabeth Kagan ;

Bluth, Edward I. ;

Straus, Christopher M. ;

Reddy, Sravanthi ;

Recht, Michael P. .

AMERICAN JOURNAL OF ROENTGENOLOGY, 2016, 207 (06) :1171-1175

[5]

Harvey L, NEIMAN ALMANAC SELEC

[6] Adapting to Artificial Intelligence Radiologists and Pathologists as Information Specialists [J].

Jha, Saurabh ;

Topol, Eric J. .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 316 (22) :2353-2354

[7] Large scale deep learning for computer aided detection of mammographic lesions [J].

Kooi, Thijs ;

Litjens, Geert ;

van Ginneken, Bram ;

Gubern-Merida, Albert ;

Sancheza, Clara I. ;

Mann, Ritse ;

den Heeten, Ard ;

Karssemeijer, Nico .

MEDICAL IMAGE ANALYSIS, 2017, 35 :303-312

[8] Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging [J].

Kwak, Jin Tae ;

Xu, Sheng ;

Wood, Bradford J. ;

Turkbey, Baris ;

Choyke, Peter L. ;

Pinto, Peter A. ;

Wang, Shijun ;

Summers, Ronald M. .

MEDICAL PHYSICS, 2015, 42 (05) :2368-2378

[9] The Effects of Changes in Utilization and Technological Advancements Of Cross-Sectional Imaging on Radiologist Workload [J].

McDonald, Robert J. ;

Schwartz, Kara M. ;

Eckel, Laurence J. ;

Diehn, Felix E. ;

Hunt, Christopher H. ;

Bartholmai, Brian J. ;

Erickson, Bradley J. ;

Kallmes, David F. .

ACADEMIC RADIOLOGY, 2015, 22 (09) :1191-1198

[10]

Mitchell T. M., 1997, MACH LEARN, pXVII

← 1 2 →