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@FOAMecmo 3 years ago
Technology to manage complexity in #ICU? intensive care? biggest amount of data vs any other area if medicine evidence suggest this can improve bedside care some practical barriers exists to translation @AriErcole #eSMART2020 #AI #MachineLearning #ArtificialIntelligence https://t.co/0O9VRJEgeW
@AriErcole 4 years ago
Comprehensive meta-analysis from @ESICM data science in Intensive Care Medicine: #MachineLearning can predict sepsis with AUC between 0.68–0.99 (ICU), 0.96–0.98 (hospital) and 0.87-0.97 (ED) But only 3 clinical implementations #TranslationGap https://doi.org/10.1007/s00134-019-05872-y https://t.co/HX9Gln3pAY
@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