Artificial Intelligence Predicts AKI Two Days BEFORE It Happens
This machine learning system accurately predicted which patients would develop acute kidney injury or need dialysis. And they did so 41 hours before the patients actually developed it! Imagine the ramifications not just for AKI but for predicting rapid response, need for ICU care, and more.
Emerging Tech – Dr. Animoji Will See You Now
This is an interesting glimpse at how technology is and will be changing emergency medicine.
Saturday Email – Share Your Discoveries
Use the comments at the bottom of this post on JournalFeed to tell us what content you want to see in the Saturday emails.
Hidden Dangers of Your Smartphone
This article is a sobering reminder that mistakes with online activity can cost one's career. We know the obvious blunders, but this editorial explores 3 more subtle ways our smartphones could damage our reputations.
Ejection Fraction with an iPhone
Noninvasive measurement of ejection fraction with an iPhone app is possible and very accurate. When this becomes publicly available, it will be a game changer.
Can You Tell a Good Blog From a Bad One?
A group of people, at least 42, can reliably rate the quality of a blog. Individual rating of gestalt quality was not a reliable measure.
Drones Save the Drowning
Drones could help find drowning victims almost 4 minutes sooner than a large team of lifeguards.
Alcohol-related tweets mean more visits to the emergency department
A higher number of alcohol-related tweets correlates with an increased in ED visits for alcohol-related problems.
Disastrous social media use by doctors
Inappropriate use of social media was shockingly common among healthcare professionals, with potentially devastating privacy, individual, and institutional consequences.