Drones carrying a rescue buoy were able to find and rescue simulated (and three real) drowning victims in half the time of a traditional lifeguard or one on a Jet Ski.

We are already undergoing a Cognitive Revolution.  As I thought more about this, I started to wonder how much AI will change our practice in the near future and ran across this excellent article in the New Yorker, A.I. vs M.D., that got me thinking.

An artificial neural network used temporal and weather data to accurately predict trauma volume and severity.

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.

This is an interesting glimpse at how technology is and will be changing emergency medicine.

Use the comments at the bottom of this post on JournalFeed to tell us what content you want to see in the Saturday emails.

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.

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.

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 could help find drowning victims almost 4 minutes sooner than a large team of lifeguards.