Abstract:
:Rapid growth in the amount of data that is electronically recorded as part of routine clinical operations has generated great interest in the use of Big Data methodologies to address clinical and research questions. These methods can efficiently analyze and deliver insights from high-volume, high-variety, and high-growth rate datasets generated across the continuum of care, thereby forgoing the time, cost, and effort of more focused and controlled hypothesis-driven research. By virtue of an existing robust information technology infrastructure and years of archived digital data, radiology departments are particularly well positioned to take advantage of emerging Big Data techniques. In this review, we describe four areas in which Big Data is poised to have an immediate impact on radiology practice, research, and operations. In addition, we provide an overview of the Big Data adoption cycle and describe how academic radiology departments can promote Big Data development.
journal_name
Acad Radioljournal_title
Academic radiologyauthors
Kansagra AP,Yu JP,Chatterjee AR,Lenchik L,Chow DS,Prater AB,Yeh J,Doshi AM,Hawkins CM,Heilbrun ME,Smith SE,Oselkin M,Gupta P,Ali Sdoi
10.1016/j.acra.2015.10.004subject
Has Abstractpub_date
2016-01-01 00:00:00pages
30-42issue
1eissn
1076-6332issn
1878-4046pii
S1076-6332(15)00453-5journal_volume
23pub_type
杂志文章,评审abstract:RATIONALE AND OBJECTIVES:The quality of the graduates of radiology residency programs is powerfully affected by the quality of the candidates admitted to them, making the evaluation and ranking of residency applicants one of the most important tasks of radiology education. In the applicant evaluation process, evaluator...
journal_title:Academic radiology
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journal_title:Academic radiology
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journal_title:Academic radiology
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abstract:RATIONALE AND OBJECTIVES:A novel ventilation imaging method based on four-dimensional (4D) computed tomography (CT) has been applied to the field of radiation oncology. Understanding its reproducibility is a prerequisite for clinical applications. The purpose of this study was to quantify the reproducibility of 4D CT v...
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journal_title:Academic radiology
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doi:10.1016/j.acra.2004.06.009
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journal_title:Academic radiology
pub_type: 杂志文章
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journal_title:Academic radiology
pub_type: 杂志文章
doi:10.1016/j.acra.2005.01.015
更新日期:2005-05-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章
doi:10.1016/j.acra.2010.02.002
更新日期:2010-06-01 00:00:00
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pub_type: 杂志文章
doi:10.1016/j.acra.2018.12.025
更新日期:2019-10-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章
doi:10.1016/j.acra.2017.12.008
更新日期:2018-07-01 00:00:00
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pub_type: 杂志文章
doi:10.1016/j.acra.2017.12.006
更新日期:2018-07-01 00:00:00
abstract:RATIONALE AND OBJECTIVES:To investigate the correlation between prevalence and degree of coronary artery calcification (CAC) and extracoronary calcifications (ECCs), scored quantitatively according to Agatston and semiquantitatively by visual analysis, in chest computed tomography (CT) studies obtained for lung cancer ...
journal_title:Academic radiology
pub_type: 杂志文章,评审
doi:10.1016/j.acra.2015.03.005
更新日期:2015-07-01 00:00:00
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pub_type: 杂志文章
doi:10.1016/j.acra.2019.06.019
更新日期:2020-05-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章
doi:10.1016/s1076-6332(00)80057-4
更新日期:2000-12-01 00:00:00
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pub_type: 杂志文章,多中心研究
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journal_title:Academic radiology
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更新日期:2012-02-01 00:00:00
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pub_type: 临床试验,杂志文章
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