@NEJM_AI 1 year ago
How well does your medical #MachineLearning task align with the problem you are trying to solve? In this clip, @pranavrajpurkar explains what can go wrong. Listen to the full episode: https://ai-podcast.nejm.org/e/dr-pranav-rajpurkar-on-ai-and-radiology/ https://t.co/kVTaajqP1C
@AaltoUniversity 2 years ago
A new method for generating synthetic data could solve a major problem for research that depends on access to sensitive data - can help us develop better medical treatments and drugs without privacy worries. #MachineLearning https://twitter.com/FCAI_fi/status/1402197423435530242
@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?
@KirkDBorne 4 years ago
Medical #AI has a #BigData problem — early Clinical Decision Support Systems have a spotty record: https://dy.si/5wo6Xo ————— #DataScience #MachineLearning #Healthcare #HealthTech #ClinicalAnalytics ————— Source for #infographic: https://www.cognilytica.com/2019/02/07/infographic-8-ways-in-which-ai-is-transforming-healthcare/ @cognilytica https://t.co/A3SOQsBEWO
@ChunNanHsu 7 years ago
When MDs use old #machinelearning for medical problem? -- innovation! When #AI PhDs did it? -- no novelty, no clinical value... Why?
@DeepLearn007 7 years ago
Cancer's #BigData problem #MachineLearning #ML #Medicine #Cancer #Data http://medicalxpress.com/news/2016-10-cancer-big-problem.html via @medical_xpress