Data is revolutionizing every industry, especially healthcare. Dr. Christopher Morley of @Medivis_AR showed CES 2019 how the latest in AR and 5G are providing caregiver’s more comprehensive patient information through advanced medical imaging http://bit.ly/2Mbpwk4 https://t.co/4XGZE3Q3QW
Johns Hopkins Medicine is tapping vast amounts of data to better predict disease progression using #Cloud and #MachineLearning: http://msft.social/lPanHu #AI @HopkinsMedicine https://t.co/OO8A0aZlxE
The Use of Natural Language Processing to Extract Unstructured Medical Data From Text https://buff.ly/2Chb2xi v/ @insideBigData #NLP #AI #MachineLearning #DeepLearning #BigData #DigitalHealth Cc @JimMarous @Chris_Skinner @MikeQuindazzi @jblefevre60 @ahier @IrmaRaste
First up at our Meetup is our very own data scientist, Jonathan Gerrand, with his talk: Medical Imaging within Africa: A prescription for promise or a poor prognosis? #datascience #machinelearning #medicalimaging https://t.co/38Rr3VXnIy
#Egypt has no medical data collection/ patient records on any modern internationally recognizable form,we are a 100 million person country with strong medical establishments without data! Must end this,I will start campaigning on Cardiology level first. #BigData
In the age of #bigdata, how is your medical data protected? Find out about potential #ethics and privacy challenges in this Perspective from @CohenProf @WNicholsonPrice https://go.nature.com/30Tcde2
Here at #ICPE2019 @TomasBergvall is giving a very interesting talk on a data-driven method for identifying the indication for treatment in Electronic Medical Records. #DataScience #PatientSafety #Pharmacovigilance @UMCGlobalSafety https://t.co/twRKAPgmte
The Use of Natural Language Processing to Extract Unstructured Medical Data From Text https://buff.ly/2Chb2xi v/ @insideBigData #NLP #AI #MachineLearning #DeepLearning #BigData #DigitalHealth Cc @JimMarous @Chris_Skinner @MikeQuindazzi @jblefevre60 @ahier @IrmaRaste
The great irony of #MachineLearning for medical applications: On one hand, everything is "data-driven", "makes no assumptions" etc. On the other, diagnostic labels are taken as ground truth.
New blog post on AI and it’s potential to unlock more insights from EHR data. Free to read: https://www.themedicalcareblog.com/unlocking-the-potential-of-our-ehr-data-with-ai/ #MedicalCare #HealthIT #EHR #DataScience #MachineLearning @Alexa_OrtizNC @RTI_Intl @RTI_HealthIT @DanErim_MDPhD #AOM2019