Blackford Analysis
With the RSNA 2017 Annual Meeting fast-approaching, topics such as artificial intelligence and other image processing are expected to be top of the agenda. Indeed, RSNA is dedicating a specific area of the show to these kinds of technologies in the
Machine Learning Showcase, located in North Hall B. There is a lot of buzz around this subject area at the moment, and extensive investment, research and development is being dedicated to exploring how machine learning can help deliver improvements in a wide range of healthcare areas. Our experiences in the radiology market made it clear that there had to be a better way for these new imaging technologies to be adopted and deployed. We realized that by adopting a platform-based approach, we could streamline the technology adoption process for other solutions. In this blog, we provide a preview of three broad areas where intelligent technology can help radiologists and referring physicians:
- Condition-Specific Applications
- Efficiency Applications
- Planning Applications