Nicholas Bien

CS master's student at Stanford

[Andrew Ng @AndrewYNg]

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: https://t.co/1OwfEQuTsY @nbien2 @pranavrajpurkar @RobynLBall @jeremy_irvin16 @curtlanglotz @mattlungrenMD

[Andrew Ng @AndrewYNg]

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! https://t.co/AjXjgq7e0e

@nbien2 @pranavrajpurkar @RobynLBall @mattlungrenMD @Stanford

[Pranav Rajpurkar @pranavrajpurkar]

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

https://t.co/WiipuaDmLd