Maximizing your “Return on Innovation” for AI

Adopting and implementing new technologies often leads one to question - “What is the return on investment?” When it comes to truly innovative solutions, that is a question not so easily answered.  Taking a look forward at the use of artificial intelligence in medical imaging and other areas of healthcare, one can see it is ripe to deliver on the hype of improved outcomes, workflow automation, and systematic efficiency gains.

AI: The Past, Present and Future

From the looks of each morning’s newsfeed, it’s evident that the buzz of AI has turned into productive dialogue and won’t be slowing down anytime soon. As many of us experienced, hundreds of companies (including TeraRecon) came to RSNA (Radiological Society of North America’s Annual Meeting) to show off what they have contributed to the industry since this time last year. Talks of radiation dose management and 3D printing were abundant but none were so pervasive as Artificial Intelligence (AI). Every booth seemed to have something to contribute whether it be the development of eclectic algorithms or App store like platforms that did little more than provide quicker access to algorithms a company was already selling. 

RSNA 2017 Review: The Future of AI is Here

“I quickly felt like an 8th-grader who wandered into a Quantum Physics class at MIT” - a familiar sentiment found in Dr. Sam Friedman’s RSNA review blog that we hear echoed across the market. Dr. Friedman was surrounded by the brightest of minds at an AI round-table at RSNA and felt a gap between his exposure to the technology and where it is rapidly going.

A Fresh Approach to Artificial Intelligence in Medicine


The use of artificial intelligence to help healthcare providers handle their growing workload and improve patient outcomes increases every day. This technology is yet to have a major impact in radiology. The technology is best suited to solve problems that are repetitious and consistent. 

The 5 Ways Internal Politics Slow Innovation in Healthcare

The politics of who controls and promotes “what’s new” inside the health system has an all to common tendency to slow down internal access to innovation. This bottleneck can drastically decrease adoption of the latest technologies in healthcare, such as 3D Printing.

Internal 3D Printing Costs: Underestimated or Absent?

 In healthcare, costs are calculated and understood, but in 3D printing, the internal cost of printing is often underestimated and more often, completely unknown. It's common to see an organization tout an incredible case study with a 3D model, yet once all costs are factored, the model ended up being 10x more expensive than it should have.

Extending 3D Printing with Integrated Technologies

We know the incredible value, utility and unlimited applications of 3D printing to healthcare. However, we must also acknowledge it’s place in relation to other emerging technologies that compliment and potentially outpace the possibilities of a printed object.  One does not eliminate another but provides balance for the variance in users and use cases. Think about computers vs. paper or digital cameras vs. film. Everyone said computers would eliminate the need for paper but we all know that isn’t completely true. Same for cameras and many other areas.