What to look for in AI and IT at RSNA 2019

Embedded systems: This segment hasn't received as much attention, but it could eventually become the area where AI has the biggest impact, covering the incorporation of AI into modality scanners to perform tasks such as reconstruction of image data. In MRI, for example, AI could be used to analyze data more effectively and shorten scan times or enhance image quality -- or both. In CT, embedded AI could lead to major advances in dose reduction. But Harris sees ultrasound as the modality where embedded AI could make the biggest difference. Ultrasound is prone to operator variability and has a steep learning curve.