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@WIRED 2 years ago
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
@MonicaTincopa 3 years ago
Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi
@bgr.com 3 years ago
A drug thought to worsen coronavirus infections might actually help people recover
@AriErcole 4 years ago
Looking forward to it! Looking at #MachineLearning to better understand adverse events in high risk patients & working with the other #NHSDigitalFellows to promote and develop digital medicine in the NHS. @CUH_NHS @EricTopol @NHS_HealthEdEng @Cambridge_Uni @magdalenealumni https://twitter.com/NHS_HealthEdEng/status/1173870066141736961
@venturebeat.com 6 years ago
‘Citizen AI’: Teaching artificial intelligence to act responsibly