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Preparing for the Artificial Intelligence Explosion at RSNA 2019
- What do the following numbers have to do with the annual meeting of the Radiological Society of North America: 2, 12, 32, 271, and 308? They refer to the presence of “artificial intelligence” at the show from 2015 to 2019, in that order. RNSA sees tremendous potential in the application of AI and its various permutations to the work of...
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Why AI Is the Solution to Radiology Data Problem
Radiologists are under increasing pressure to read and interpret hundreds of images a day. One study estimated that the average radiologist needs to interpret one image every 3–4 seconds in an...Sponsored by Pure Storage
Benefits of Artificial Intelligence to Radiology Workflows
Radiology has emerged as a leader in artificial intelligence out of a pressing need. “The primary driver behind the emergence of AI in medical imaging has been the desire for greater efficacy...Sponsored by Pure Storage
Future AI Opportunities for Improving Care Delivery, Cost, and Efficacy
With its ability to identify effective and economical services and treatments, artificial intelligence has the potential to create savings by eliminating waste in the system. In the United States,...Sponsored by Pure Storage
Seamless Data Architecture Supports Artificial Intelligence Success
Healthcare data is immensely complex and immensely voluminous, which offers both advantages and challenges for the development of artificial intelligence. While large, rich, multifaceted data sets are...Sponsored by Pure Storage
