Analyst Insights - Medical Imaging Posts

Read our Analysts’ insights and expert opinions on the latest healthcare technology industry developments and market trends

RSNA 2016 Post Show Report

This show report presents the views from Signify Research’s leadership team attending the 102nd Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA).  The show report contains three insights covering Imaging IT, Deep Learning in Imaging and Ultrasound.

RSNA: Deep Learning Takes Centre Stage, but Beware the Hype

Artificial Intelligence was one of the key themes at this year’s RSNA; at least 20 companies displayed products featuring AI tech & some used AI as a key part of their marketing messages.

RSNA Ultrasound: Premium Market Heats Up

Ultrasound tech has continued to evolve & be used in new clinical settings; the latest advances were on show at RSNA 2016 show, including a raft of new premium flagship systems.

Defining the Opportunity: Machine Learning in Radiology

We define current applications of machine learning in radiology and point to how the technology will be applied in four distinct areas.

5 Reasons Why Radiology Needs Artificial Intelligence

AI has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report presents 5 reasons why AI will increasingly be used in radiology. It concludes with a list of the barriers that will first need to be overcome before mainstream adoption occurs.