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@INM7_ISN 2 years ago
Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu
@coursera 4 years ago
#DidYouKnow that AI is accelerating the discovery of life-saving drugs, improving the patient experience, & helping doctors diagnose diseases more effectively? Learn how to apply #MachineLearning to medicine with this Specialization from @deeplearningai_ https://bit.ly/2V9cb1l https://t.co/wkj8O73ens
@tmprowell 6 years ago
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... 🤣
@pamgarfield1 6 years ago
Diagnostics and other aspects of medicine are a good fit for #AI and #MachineLearning - this underscores the growing importance of doctors focusing on what humans do best: engaging with patients to determine the right treatment plan http://hpgllc.co/lexuu
@DeepLearn007 6 years ago
#Blockchain Powered #AI Doctors to Revolutionise Medicine#MachineLearning #DeepLearning #ML #DL #HealthTech #tech https://cointelegraph.com/news/blockchain-powered-ai-doctors-to-revolutionize-medicine https://t.co/6tYQ2IeAkH