There’s just one problem: no one really knows how the algorithm reaches those scores or what it’s using to measure risk factor. And if miscalculated, it could keep patients from getting the medicine they desperately need. : Sam Cannon 6/10 https://t.co/llyBVbMrbd
Getting Started in Medical #AI Bookmark this! Any medical professionals wondering how they can learn more about AI should read this. A fantastic collection of online resources by @curtlanglotz! https://buff.ly/3wS4DQZ #MachineLearning #DeepLearning #radiology #radres https://t.co/t4pAzwKS83
Day 5 of code. When at first I felt like I was close to getting down JavaScript. I fall back 🥲 like 20 steps. Lol why can’t my medical backround help in learning this stuff a lot faster. #coding #100DaysOfCode #CodeNewbie #dev #DataScience #code #codingisfun
Getting ready for the exciting @MLFPM_ITN winter symposium on #MachineLearning in #Medicine, starting in half an hour. Free live stream link and schedule on https://mlfpm.eu/events/mlfpm-winter-symposium-2021/ @fabian_theis @Mniepert @NatasaPrzulj @mmbronstein @dana_peer @david_sontag
Assume you have an #AI is a #Doctor , would you want to know your disease with high accuracy (90%), or not knowing but increase your chances of getting the right cure (98%)? #MachineLearning #Python #Philosophy #Health #NeurIPS2020 #PyTorch #TensorFlow #research #Medicine #pharma
Getting ready for an invited talk on "#MachineLearning in #Medicine" at the Joint 2020 Meeting of the Swiss Society for Infectious Diseases (#SSI) & the Swiss Society for Hospital Hygiene (#SSHH) https://www.meeting-com.ch/fileadmin/user_upload/programme_pdf/Programme_2020/SSI-SSHH_Program_2020.pdf Great to see a bridge being built between these fields!
Forget the term 'Big Data' when it comes to Medicine and healthcare... ...It's absolutely 'ENORMOUS Data,' and it's getting more so all of the time... https://www.nature.com/articles/s41591-019-0703-0.pdf #serverless #snrtg #iot #bigdata #meded #technology #scicomm #genomics #rarediseases #raredisease https://t.co/BJNCHi1nuH
"In health care, and specifically in genomics, #BigData is key to getting insights into the cause of many medical conditions," says Dekel Gelbman, CEO of FDNA and speaker at Stanford Medicine's upcoming #BigDataMed event. https://stan.md/2IqF3Jt
Fascinating how many mentions #AI & #MachineLearning are getting in #AACR18 sessions. I think all of us in medicine spending half our lives clicking things in #Epic desperately need to believe that computers will eventually work for doctors instead of the other way around... 🤣
