Nicholas Bien retweeted
My @Stanford lab just released the MRNet dataset of 1000+ annotated knee MRIs. Join our competition to develop and test your knee MRI interpreting deep learning model: stanfordmlgroup.github.io/co… @nbien2 @pranavrajpurkar @RobynLBall @jeremy_irvin16 @curtlanglotz @mattlungrenMD – at Stanford, CA
Nicholas Bien retweeted
Our new result in @PLOSMedicine: DL to help radiologists w/knee MRI diagnosis, comparing Human+Machine vs. Human alone. Hope systems like these can soon be deployed and help patients! stanfordmlgroup.github.io/pr…
@nbien2 @pranavrajpurkar @RobynLBall @mattlungrenMD @Stanford
Nicholas Bien retweeted
Our latest publication out in @PLOSMedicine, exploring whether AI can improve radiologists!
Finding: on one of the most common knee injuries (ACL tears), AI can reduce (Type 1) error rate. @nbien2 @mattlungrenMD @RobynLBall @curtlanglotz @AndrewYNg
stanfordmlgroup.github.io/pr…


