Blog
Rad IT Reconstructed, Not Deconstructed
The modern rad could be forgiven for being suspicious of the promises of new technology. For the most part, technology has served as an enabler for a higher volume of work with little regard for...
This is Why I Went to Medical School
Like many radiologists, I often find myself complaining about my workflow and saying “this isn’t why I went to med school” or “I didn’t go to med school to do X”. I thought it would...
Keeping Physicians at the Heart of the AI Healthcare Revolution
Last month, TechCrunch published an op-ed by technologist Kai-fu Lee arguing AI “stands to outclass doctors” and will eventually become superior to physicians in diagnostic capability. There is no denying AI’s value and promise for advancing...
Healthcare IT: The Most Interesting Space in the World
Healthcare gets a bad rap for being the backwater of the IT landscape. It’s easy to malign the frustrating persistence of fax machines, but the reasons are subtle and not merely an oversight of newer...
How Does Artificial Intelligence Compare to Augmented Intelligence?
As providers strive to improve patient outcomes, the use of machine learning has become more integrated into the healthcare system. As this new form of technology continues to expand, it’s important to understand how it...
Solving Radiology Burnout with 21st Century IT
Samir Mehta, a practicing radiologist from VA Palo Alto and Head of Clinical Operations at Sirona Medical, talks about the increasing demands of modern-day radiology. When I decided I wanted to be a radiologist, I...
A Way to Look at Intelligence Without Being Artificial
The great AI debate has largely missed the point. In a radiology context, some of the earliest discussions set the tone for a conversation that still appears to be skewed in the wrong direction. Perhaps...
What Radiology Can Learn From Rivers
We often talk about ‘flow’ in our daily lives, but do we really grasp the deeper meaning? Although ‘information flow’ is commonly used when describing the functions of a radiology IT system, the information overload...