@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
@PMunkCardiacCtr 1 year ago
Coming soon... We're celebrating 25 years of excellence at the Peter Munk Cardiac Centre with an exciting debut later this month - stay tuned! #WhateverItTakes #cardiology #cardiovascular #machinelearning #heartmonth #hearthealth #science #medicine https://t.co/XSCwGaeeel
@Fabriziobustama 3 years ago
Effect of #MachineLearning on Dispatcher Recognition of Out of Hospital Cardiac Arrest During Calls to Emergency #MedicalServices By @JAMANetwork #NeuralNetworks #DeepLearning #AI #healthcare Cc: @IrmaRaste @_atanas_ @JohnNosta @CMichaelGibson @Dkell999 https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774644 https://t.co/AgVKJru7NK
@BojanaVukov 4 years ago
5 ways #AI has impacted cardiac care Via @spelldotrun #ArtificialIntelligence #ML #MachineLearning #DeepLearning #tech #medicine #healtcare #datahacker #spelldotrun #video https://t.co/8REy189FNW
@davorjord 4 years ago
Here are 5 ways #MachineLearning is already improving the work of doctors in cardiac care. ❤️✨⁠ Via @spelldotrun http://Spell.run⁠ ⁠ #AI #ML #DeepLearning #spellrun #medicine #healtcare #video https://t.co/5MDiH8XaEh
@FOAMecmo 4 years ago
Medical errors common before cardiac arrest on wards mostly diagnosis delay (Hodgetts 2002) some #IHCA get #ICU late increasing morbidity/mortality may #AI #DataScience identify high-risk pts? check @CritCareMed papers #FOAMcc Churpek M #ESICMdata20 @ESICM #MachineLearning https://t.co/k9OmyqKJ0t