Healthcare IT Today May 20, 2020
Successful examples of AI in health care have reached the news often enough to make it clear that modern algorithms can be valuable. But we don’t want AI to be a black box. So I felt it a great opportunity to talk to Stefan Behrens, CEO of and co-founder of GYANT, a company that makes a healthcare virtual assistant. He told me a bit about how their machine learning algorithms work, and how they can explain how they reached their recommendations. I’ll summarize GYANT’s service in this article and explain their machine learning at a very high level, with minimal technical jargon.
What Front Door Does for Providers and Patients
On May 13, GYANT reported metrics on the adoption and...