deep learning

By Dave Muoio May 9, 2018
Google has unleashed a tidal wave of product and feature updates through the ongoing Google I/O developers’ conference, and it’s no surprise that the intersection of artificial intelligence and healthcare was a recurring spotlight among them. Through keynote speeches and simultaneously released online blog posts, the company highlighted a handful of tech-driven healthcare efforts that seem to be...
By Jonah Comstock May 11, 2017
Cardiogram, a startup working on algorithms to make the Apple Watch’s heart rate data clinically actionable, announced some results today from its mRhythm Study. The data, presented at the Heart Rhythm Society’s 38th Annual Scientific Sessions, shows that the company’s algorithms can detect atrial fibrillation with 97 percent accuracy. “Our results show that common wearable trackers like...
By Heather Mack April 26, 2017
While medical imaging technologies have gotten more sophisticated and commonplace over the years, the number of available radiologists or clinicians to read things like CT scans or MRIs haven’t increased accordingly. But tools that leverage machine learning have gotten smarter, and engineers believe they could play a vital role in alleviating the high demands on human medical image interpreters....
By Heather Mack April 24, 2017
Out of the 422 million people around the world living with diabetes, one in three of them will develop diabetic retinopathy (DR), a common condition that can lead to permanent blindness if left untreated. While early detection and treatment can dramatically reduce that risk, a third of people with diabetes have never even been screened for DR, as many are living in low-income, medically...
By Bernie Monegain March 16, 2017
Intermountain Healthcare is working with Zebra Medical Vision, a deep learning imaging analytics company, based in Israel to integrate machine learning in medical imaging analysis. The goal is to provide better patient care. Here’s how it works: Zebra-Med’s analytics engine receives imaging data and analyzes findings indicative of cardiovascular, pulmonary, metabolic and bone health....
By Jonah Comstock November 29, 2016
A team of Google researchers has published a paper in the Journal of the American Medical Association showing that Google's deep learning algorithm, trained on a large data set of fundus images, can detect diabetic retinopathy with better than 90 percent accuracy.  "These results demonstrate that deep neural networks can be trained, using large data sets and without having to specify lesion-based...
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