In our new AI conversation video series, we will be answering nine of the most frequently asked and debated questions regarding artificial intelligence. These are the questions that you keep hearing at conferences, at the recent RSNA 2018 Annual Meeting in Chicago, during webinars, and on social media. Each video reveals our answer to a challenging AI question in a quick and to-the-point manner. In our first video, TeraRecon President and CEO, Jeff Sorenson breaks down the most common hurdles to AI adoption today, how to overcome those hurdles and why there isn't a one size fits all solution.
AI Adoption Hurdles
The hurdles to AI adoption are really getting experience with the technology in a way that’s safe. I think that many physicians are afraid to try without knowing that it’s not going to interfere with their interpretation. At the same time, if they don’t experiment, they don’t know what the possibilities are for what the technology can do.
So, the trick to making AI work in today’s radiology workflow is providing access that is safe and that is understood by the physician, and where they can take baby steps and where they can find AI that fits with their own belief systems and their own clinical requirements. It isn’t a one size fits all world, and in many respects, the AI that exists today isn’t what the physicians are looking for. It’s where we start and not necessarily where we’re going. But, to end up in the right place we all have to get started today, and that is what is exciting about the platform that we ‘ve created because it is more about the “how do I get started” than it is about the “what do I use”.
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