@PMunkCardiacCtr 1 year ago
Our #AI Team (and film crew) in action Peter Munk Cardiac Center AI is now on Twitter at @pmcc_ai! Follow them for the latest advancements in precision medicine in #cardiovascular care using #machinelearning. #WhateverItTakes @drbarryrubin @BoWang87 @SenthujanSenka https://t.co/aeRNIq9FaT
@cziscience 2 years ago
We’re excited to kick off our medical #imaging workshop + discuss large-scale imaging studies and how AI and #MachineLearning can support diagnostics. Follow this 🧵 for meeting updates
@Michael_D_Moor 3 years ago
Thanks @SSB_RM @elia_guzzi for inviting us (@Pseudomanifold and me) to present some of our lab's work in #MachineLearning for #Personalized #Medicine. @AGKBorgwardt Great discussion at the end! Slides will follow. 1/2 https://t.co/7LEbpoX0nB
@HumanBrainProj 3 years ago
Do you want to learn about: ◦ Understanding brain organization? ◦ #MachineLearning for individual #prediction, #clinical translation & personalized #medicine? Then follow HBP Scientist Prof. Dr. Simon Eickhoff at @INM7_ISN! https://t.co/eNHn1WKe72
@HumanBrainProj 3 years ago
Prof. Dr. Simon Eickhoff's work focuses on: ◦ Understanding brain organization ◦ #MachineLearning for individual prediction, #clinical translation & personalized #medicine All of which is highly relevant to the mission of the Human Brain Project. Follow him at @INM7_ISN https://t.co/vZe55zoiuU
@raamana_ 4 years ago
tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!
@MRAguy 5 years ago
I started a literature bot on #machineLearning and #DeepLearning for medical imaging - follow @MLandDL_papers if you want to be updated automatically on new literature in this field with links to PubMed @RSNA @ESMRMB @myESR @ISMRM
@turinginst 6 years ago
At 10:00 GMT follow #AIforsocialgood & tune in to http://bit.ly/TuringLive for livestream of our @royalsociety symposium. We’ll explore topics from #machinelearning and #medicine to algorithmic bias & much more! https://t.co/GHc4UTFEOV