Big Data and Radiology Research.

Clicks: 210
ID: 39666
2019
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Ranked #17 of 22 articles by views in journal of the american college of radiology : jacr

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Abstract
Our understanding of human health may be significantly enhanced in the near future because of the unprecedented volume of digitized health care data and the availability of artificial intelligence to mine these data for correlations that could drive new research hypotheses and improved patient care. Observational studies and randomized trials are traditional methods to generate and test hypotheses. Another way to generate research hypotheses is to use big data to reveal patterns and associations for further study. In 2018, the National Institutes of Health unveiled its Strategic Plan for Data Science, which includes a far-reaching plan for the use of big data to stimulate new research discoveries. Both researchers and physicians will need to learn and apply new skills in understanding the use of artificial intelligence and other tools, as well as in the direct application of data collection and mining in their own practices and patients.
Reference Key
pisano2019bigjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pisano, Etta D;Garnett, Leah R;
Journal journal of the american college of radiology : jacr
Year 2019
DOI
S1546-1440(19)30710-0
URL
Keywords Keywords not found

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