"You can tell I'm a data scientist because I answer every question with, 'it depends,'" says @ktlyman - but that being said, he's provided great insight into how @enlitic is using their deep learning technology to help doctors diagnose #cancer faster.
"What if we could learn from the collective insights of every doctor in the world?"
@ktlyman joined The Hive @TEDMED to talk about @Enlitic's vision for healthcare as a collaboration bewteen doctor and machine that puts patients first.
See his talk: https://t.co/gnh6s30G28
What if we could learn from the collective insights of every doctor in the world? 2017 #TEDMED Hive Innovator @ktlyman explains how @enlitic is using deep learning AI to improve the accuracy of medical diagnoses. https://t.co/baiNZak8xg
RadIO – a library for data science research of CT images:
- fast io for medical image formats
- fast parallel preprocessing
- a zoo of SOTA neural networks for classification or semantic segmentation
- customizable cropping, etc
https://t.co/yKFrQkcg94
Thank you again to @healthtechdan for being a great interviewer on @dhealthtoday and for the donation to the National MS Society! https://t.co/CUXgnoKit9
@DrHughHarvey @curtlanglotz Dirty data, indeed! We'd never have gotten this far w/o our world class team of SMEs. It never hurts to have more, though. We should chat!
Super grateful to have won the first CUBE Tech Fair on behalf of @enlitic! It was an honor to pitch @stevewoz! Thank you all for organizing! https://t.co/UF3rfQ7dz3