Posted on September 6, 2017 by Jeff Sorenson
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.
Posted on August 30, 2017 by Jeff Sorenson
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.
Posted on August 23, 2017 by Jeff Sorenson
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.
Posted on May 31, 2017 by Brianna Smith
We've recently announced the release of our turbo-performance VolumePro® (VP) CUDA® interface layer, readying your TeraRecon platform for nVidia CUDA® GPUs and eliminating the need for previously required proprietary hardware. Time is money - save both!
Posted on March 20, 2017 by Kevin Lugo
Over the last few months, stories about Traumatic Brain Injury (TBI) have been very popular across the full spectrum of news media. There are articles in newspapers, national news magazines and segments on local & national news. These stories have wide appeal because this subject affects so many of us. People injured in automobile accidents or falls, veterans returning from service and children playing school sports may all be at risk.
Posted on February 14, 2017 by Kevin Lugo
With the RSNA16 annual meeting now in our collective rear view mirror, it will be interesting to watch the trends from the show as they unfold in the new year. It was a whirlwind of meetings, product demonstrations and engaging discussions with customers and colleagues. The general consensus seemed to be it ‘felt’ like fewer people were in attendance at this year’s meeting and the numbers are supportive but the content was as rich as ever. For those of us fortunate enough to attend, as well as those observing from a distance, there are some interesting trends we can look forward to following in 2017.
Posted on November 17, 2016 by David MacCutcheon
TeraRecon announces our support for NVIDIA GPUs using the CUDA® Platform. This is part of our continued efforts to provide improved performance, scalability and support the ever growing trends toward total Virtual Computing and Cloud Deployment. Make no mistake, the CUDA interface on the NVIDIA GPU is quite different than just using ordinary GPU’s for 3D rendering. It differs in 2 major ways. First, it means that a single board can manage parallel rendering tasks simultaneously to support multiple users and multithreading not available with OpenGL or OpenCL interfaces. Second, CUDA enabled GPUs are leading the way as a Machine Learning platform that can be deployed in a Grid and is now supporting some of the world's most sophisticated Deep Learning endeavors.
Posted on November 16, 2016 by Jeff Sorenson
Radiologists have been taught to fear machine learning. It means what it says, a machine can learn. It is an inherently frightening concept. It is almost a shame to put such a label on the process, because it is not really new. Remember Fuzzy Logic? Neural Networks? We were all impressed that a computer could recognize the letter “A”, but that was more than a few decades ago. Today, Facebook can pick your face out of a crowd of billions, or can it really?
Posted on November 15, 2016 by David MacCutcheon
3D printing is a perfect use case for personalized Health Care. Though there are many barriers to implementing and cost justifying the adoption of 3D printing, it will be personalized Health Care that pushes this technology over the finish line and into mainstream practice. Expensive 3D printing hardware, complex secondary segmentation and printer specific software and the need for professional services assistance have slowed the adoption of 3D printing in healthcare. As with any disruptive technology it takes simplification to achieve widespread acceptance.