• Etta D Pisano and Leah R Garnett.
• American College of Radiology, Reston, Virginia; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts. Electronic address: etpisano@gmail.com.
• J Am Coll Radiol. 2019 Sep 1; 16 (9 Pt B): 1347-1350.

AbstractOur 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.Copyright © 2019 American College of Radiology. Published by Elsevier Inc. All rights reserved.

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