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Big Data and the Future of Radiology Informatics
Akash P. Kansagra
, John Paul J. Yu
, Arindam R. Chatterjee
, Leon Lenchik
, Daniel S. Chow
, Adam B. Prater
, Jean Yeh
, Ankur M. Doshi
, C. Matthew Hawkins
, Marta E. Heilbrun
, Stacy E. Smith
, Martin Oselkin
, Pushpender Gupta
, Sayed Ali
Research output
:
Contribution to journal
›
Article
›
peer-review
72
Scopus citations
Overview
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Keyphrases
Big Data Techniques
100%
Big Data
100%
Future of Radiology
100%
Radiology Informatics
100%
Academic Radiology
50%
Radiology Operations
50%
Rapid Growth
50%
Information Technology Infrastructure
50%
High Growth Rate
50%
Robust Information
50%
Continuum of Care
50%
Clinical Operations
50%
Radiology Research
50%
Immediate Effect
50%
Big Data Development
50%
Radiology Practice
50%
Big Data Adoption
50%
Digital Data
50%
Practice Research
50%
Forgoing
50%
Hypothesis-driven Research
50%
Radiology Department
50%
High Variety
50%
Computer Science
Big Data
100%
Technology Infrastructure
20%
Big Data Technique
20%
Clinical Routine
20%
Information Technology
20%
Medicine and Dentistry
Radiology
100%
Health Care Cost
25%