Startup lets doctors classify skin conditions with snap of a picture @PictionHealth, founded by @SusanTConover SM ’15, uses #MachineLearning to help physicians identify & manage skin disease @MIT @MIT_alumni @MIT_Healthcare #health #medicine #innovation https://news.mit.edu/2022/piction-health-skin-app-0706
A piece on the applications of #MachineLearning for surgical conditions in the context of #GlobalSurgery. A long way to go till a positive change can be observed. @OneDotSurgery @saqibnoorcom @T4UGIS @AdilHaiderMD #AcademicTwitter #MedTwitter #Medical #SurgTwitter #GlobalSurg https://twitter.com/OneDotSurgery/status/1358152272795074560
. @StuffThatWorks1 : Crowdsourced medicine- with over 20M data points from which doctors and patients can learn from 240+ chronic conditions. By @HilzFuld in the @Jerusalem_Post https://m.jpost.com/opinion/hillels-tech-corner-stuffthatworks-crowdsourced-medicine-657102 #digitalhealth #crowdsourcing #bigdata #AI
I successfully completed the "AI for Medicine Specialization". It has been fun learning of applying AI in diagnostics of conditions, predicting outcomes, and recommending better treatments. .https://coursera.org/share/92d94e32f218462aa2e7f2f34e3ad07a #Coursera #aihealthcare #machinelearning #datascience
#Preprint butis#BigData #Research & linked #EHR! Death from #COVID19 in 🇬🇧 strongly associated with: men older age deprivation uncontrolled diabetes & prior medical conditions but NOT #Hypertension @mmamas1973 @kamleshkhunti @DrAsifQasim @ShrillaB @drandrewsharp https://twitter.com/JonLaake/status/1258437621904297985
#Algorithm Enables Precision #Medicine to Prevent #Strokes and #HeartAttacks. “#MachineLearning derived predictive models may be particularly suited to address care gaps for treatable conditions that have traditionally been underdiagnosed.” http://ow.ly/kJvg30oAiaR
"In health care, and specifically in genomics, #BigData is key to getting insights into the cause of many medical conditions," says Dekel Gelbman, CEO of FDNA and speaker at Stanford Medicine's upcoming #BigDataMed event. https://stan.md/2IqF3Jt
