Why Do the Principals of Cardeation Capital Think Joining Forces Makes Sense for Innovation?
Click the link below to listen: Medtech Talk Podcast hosted by Tom…
Researchers at Stanford have developed a computer algorithm that can scan hours of data collected by wearable electronics to identify instances of irregular heartbeats known as arrhythmias. The researchers developed a neural network based solution to identify fourteen type of arrhythmias. The algorithm was able to differentiate between dangerous kinds of irregular heartbeats and harmless irregularities. One of the most important applications of the algorithm is in remote areas where people may not have access to cardiologists.
Awni Hannun, co-lead author of the paper says, “One of the big deals about this work, in my opinion, is not just that we do abnormality detection but that we do it with high accuracy across a large number of different types of abnormalities. This is definitely something that you won’t find to this level of accuracy anywhere else.”
Continue reading at: http://www.firstpost.com/tech/news-analysis/stanford-scientists-develop-algorithm-to-diagnose-heart-arrhythmias-better-than-cardiologists-3835765.html
Click the link below to listen: Medtech Talk Podcast hosted by Tom…
DALLAS, April 9, 2018 /PRNewswire-USNewswire/ -- Patients battling cardiovascular diseases, and even people hoping…
Livongo Joins American Heart Association’s Center for Health Technology and Innovation to…
GoMo Health is excited to announce that we are joining the American…