In a study using a condition called Noonan syndrome, the algorithm was correct 64 percent of the time, far more than the 20 percent success rate that would be expected from guesswork. “We went for this high-impact journal to prove beyond any doubt that this technology is good, it performs as we say, we can stand behind it, and now it opens a lot of doors to publish more,” said Yaron Gurovich, the company's chief technology officer. Other health and technology news looks at telemedicine for psychiatry and robots.
from Kaiser Health News http://bit.ly/2RcPicQ
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