Medical Technology

@DataKind 2 years ago

Data trust underpins safe, reliable, and #equitable data-driven care recommendations. Learn more about building system-wide #dataquality solutions in our @ChanceStatsMag paper with @medic: https://bit.ly/3uuVddK #datakind #dataforgood #publichealth #datascience #AI #data https://t.co/aLPIC1DfcB

@Ronald_vanLoon 2 years ago

Trust and #ArtificialIntelligence in #Healthcare by Daniel Allen @MedicalExpoEmag Learn more: https://buff.ly/3awEflU #AI #BigData #MachineLearning #ML #MI #DataScience #HealthTech cc: @rom_duck @stanfordnlp @richardsocher https://t.co/j8hwYXKWAF

@Fisheyebox 3 years ago

Products like in this image, loss of trust on medical technologies among patients, incorrect monitoring and complications. #healthcare #ehealth #healthtech #DataScience #womenintech #technology #RStats #Analytics #iot #IIoT #AI #5G #cybersecurity #infosec #fashiontech #wearables https://t.co/ToW6K3qDcp

@KirkDBorne 4 years ago

Should you trust an #algorithm to diagnose an illness? Yes, because you already do! That’s what medical school teaches — the features, characteristics, and presentation of illnesses! https://amp.cnn.com/cnn/2019/07/15/business/artificial-intelligence-healthcare/index.html —— #BigData #MachineLearning #DataScience #AI #DeepLearning #DeepMedicine https://twitter.com/kirkdborne/status/1144614354647769089

@IainLJBrown 4 years ago

Artificial intelligence could revolutionize medical care. But don't trust it to read your x-ray just yet - Science Magazine Read more here: http://bit.ly/31Arxx0 #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT

@IainLJBrown 4 years ago

@LauraBBalzer 5 years ago

Last ? from #DataScience 4 Public Health course- Who would you trust: a blackbox machine learning algorithm with 100% CV-prediction accuracy (AUROC=1) built with representative data OR a human medical provider (accuracy<100%; AUROC<1)? #epiTwitter #MachineLearning #SuperLearner