After languishing for years, enterprise imaging appears ready to enter the mainstream of health care. At least a small part of that may involve the use of artificial intelligence (AI) to make the transmission, storage, display and analysis of the many different types of images easier and more efficient. At RSNA 2019, GE Healthcare addressed the crossover of AI and enterprise imaging with the latest version of its AI-enabled Centricity Universal Viewer. Version 7 "consumes" and displays AI findings revealed by the Centricity PACS, said Veena Haravu, Senior Product Manager for Centricity PACS at GE Healthcare. This Version 7, which is pending FDA clearance, is integrated with the company's Edison Open AI Orchestrator to display the results of smart algorithms embedded in it.

We've been working hard on Version 7.0 of the freeCodeCamp curriculum. Some of these improvements - including 4 new Python certifications - will go live in early 2019. Note: if you're already going through the current version of the curriculum, keep going. As you'll see, there's no reason to stop. Will take a person with very basic computer knowledge...

The convergence of location awareness and data analysis has led to the creation of applications that are contextually aware. An example of that is the navigation application Waze. Drivers using Waze can share information with other "Wazers" such as a crash ahead, or heavy traffic, or a police car on the scene. Now, add to that the ability for the application to learn and make recommendations, and to push that information to the user instead of sitting idly until the user requests, and you've got the latest class of application: the smart app. The problem with smart apps, according to Derek Roos, CEO and cofounder of low-code solution provider Mendix, is that it makes sense from the user experience perspective, but it is very hard to do.