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@wesleytkerr 10 months ago
I'm #Hiring! I'm looking for a quantitative person to help build an Electronic Health Record database for #MachineLearning/AI to identify #FunctionalSeizures vs #Epilepsy, + other projects. Key skills: relational databases, medical interest @FNDSociety https://cfopitt.taleo.net/careersection/pitt_staff_external/jobdetail.ftl?job=23004585&tz=GMT-04%3A00&tzname=America%2FNew_York https://t.co/GRcykI7ifX
@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
@ComputerSociety 3 years ago
#MachineLearning systems identify patterns that are beyond human perception. #LearnFromHome with Amlan Chakrabarti as he explores how these systems are involved in medical image analysis. Register Here: https://bit.ly/2WpETLW #OnlineLearning #DigitalLearning #Webinars #Tech https://t.co/PSapLat6xp
@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
@andrejusb 4 years ago
Working on new #MachineLearning POC with Katana @katana_ml for Health Insurance fraud prevention - detecting medical insurance overcharging. Blue dots - valid claims, green - fraudulent claims. Our task - identify green dots within the area of the blue dots https://t.co/KMxt1zXz1f
@rudyagovic 5 years ago
Training artificial intelligence with artificial X-rays: New research could help AI identify rare conditions in medical images by augmenting existing datasets #MachineLearning #DataScience http://bit.ly/2NeOZYA https://t.co/nP0j9hUzot