@shefgastro 1 year ago
Can #MachineLearning learning identify the severity of #CoeliacDisease in the small bowel? Find out with Dr S Zammit, Prof R Sidhu & @Rockinbanjo Prof M McAlindon in Current Medical Imaging @https://bit.ly/40iOLGq @Coeliac_UK https://t.co/KF1Dq2TVYU
@tberzin 1 year ago
Two years in, GI continues to lead the way (unexpectedly?) in delivering randomized trial evidence for #machinelearning in medicine. Great summary of current #AI RCT landscape: https://ja.ma/3Cmj9FT via @JAMANetworkOpen by @BenjaminKannMD & co. #MedTech https://twitter.com/EricTopol/status/1168289503347232768 https://t.co/qTBvnufEBj
@IainLJBrown 2 years ago
What's the current landscape for shipping and logistics as it applies for regenerative medicine? #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT https://bit.ly/34i6pBs
@HealthBegins 2 years ago
Current #ArtificialIntelligence and #machinelearning tools are only adding to the bias in healthcare—but we can improve them. Medical Algorithms Are Failing Communities Of Color | @Health_Affairs https://buff.ly/3lztNQ3 by @DelegateDonna @jamespmanley @jason_r_DC @4qualitycare https://t.co/vYzZENTHE2
@INM7_ISN 2 years ago
Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu
@SiDenning 4 years ago
Digitally disrupting medical knowledge #SPABAH20 Dr. Ponsky questions how we stay current on medical knowledge when the doubling rate for medical publications is now 73 days (from 50yrs in 1950) #PedsAnes @PediAnesthesia @PedsAnesthesia can #AI #MachineLearning solve the problem?
@INM7_ISN 4 years ago
Eysenk's astonishing work on "cancer personality". If results are too good to be true, there is usually a good reason for this Highly relevant to current work on #MachineLearning in neuroimaging and Medicine. Real life is too complex for >>90% accuracy https://cosmosmagazine.com/society/is-this-one-of-the-worst-scientific-scandals-of-all-time
@ENERGY 4 years ago
.@argonne becomes newest member of the Accelerating Therapeutics for Opportunities in Medicine, or #ATOM, in hopes of using #AI & #MachineLearning to revolutionize the current drug discovery process into a faster, more patient oriented model. ➡️ https://bit.ly/2oe8itL https://t.co/FYHejhI5pn
@IainLJBrown 5 years ago
Artificial Intelligence in Medical Robotics – Current Applications and Possibilities - Emerj Read more here: http://bit.ly/2KYNS2U #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT
@_doc_ai 5 years ago
Thank you, @glicholai, for covering http://doc.ai’s story. Read at @Forbes what the company’s current #medical research projects are and what is in our growth pipeline. https://www.forbes.com/sites/greglicholai/2019/01/14/healthcare-artificial-intelligence-puts-on-a-human-face/#52033aab3cb7 @AnthemInc #healthcare #AI #MachineLearning #BioInformatics #Blockchain
@PaulDelbridge 7 years ago
#AI and #machinelearning are potent applications for deriving deep insights from medical databases, but are current… https://twitter.com/i/web/status/803480074427232256