RESTON, Va., Nov. 16, 2017 /PRNewswire-USNewswire/ -- The American College of Radiology Data Science Institute™ (DSI) will
"The ACR DSI's open source framework for developing AI use cases for radiology defines standards for training, testing,
ACR DSI end-to-end lifecycle will:
"Disparate AI development underway may not address the right clinical questions nor be compatible with multiple computer systems. The ACR DSI will organize these efforts to ensure that AI services are effective, improve patient care, and are compatible with modern electronic workflow and health record technologies," said Keith Dreyer, DO, PHD, chief science officer of the ACR Data Science Institute.
Please visit the ACR Data Science Institute Booth (# 8547) in the Machine Learning Showcase (North Building, Hall A) at the 2017 Radiological Society of North American (RSNA) annual meeting.
ACR DSI Chief Science Officer Keith J. Dreyer, DO, Ph.D., FACR, and ACR DSI Chief Medical Officer Bibb Allen, MD, FACR, will also present at the Showcase (North Hall A) Sunday, Nov. 26 at 12:30pm CT.
For more information visit ACRDSI.org.
View original content:http://www.prnewswire.com/news-releases/the-acr-data-science-institute-structures-artificial-intelligence-development-to-optimize-radiology-care-300558109.html
SOURCE American College of Radiology Data Science Institute
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