Medical Technology

@scaler_official 1 year ago

Want to stay ahead in your learning curve? #DataScience is the next big step for you. From medicine to finance, psychology to engineering, every industry relies on Data Science and analysis to determine the best decisions they can make. @saumya1singh #CreateImpact https://t.co/sCQbgkaRGM

@FaithCRobertson 1 year ago

Data science has become the new language of business, medicine, & much more. I love this quote f/ the @HarvardHBS #DataScience for Managers course - speaks to importance of leveraging data to drive decisions & for leaders to understand & guide these tools for systems improvement https://t.co/2jROWeHxQT

@PinakiLaskar 2 years ago

Why are #machinelearning models trained to make medical decisions that perform at nearly the same level as human experts not in clinical use? https://www.linkedin.com/posts/pinakilaskar_machinelearning-algorithms-deeplearning-activity-6806429189512728576-8Dhl #BigData #Analytics #DataScience #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Coding #100DaysofCode

@UofT_TCAIREM 3 years ago

MAY 11 • We're pleased to host @UMich professor Jenna Wiens for a public lecture! She'll discuss how clinicians can use #artificialintelligence to improve #medical decisions • http://ow.ly/h0hE50ExJ2n #healthcare #datascience #medicine #MedTwitterAI https://t.co/HXplq7cbKx

@UofT_TCAIREM 3 years ago

@moorejh 3 years ago

The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. https://www.wired.com/story/foundations-ai-riddled-errors/ #machinelearning #datascience #deeplearning

@ewenharrison 4 years ago

Black box models are not acceptable for high stakes decisions in medicine. Models must be interpretable, not just explainable (explanations are wrong by definition). Here’s your great long-read for today by @CynthiaRudin https://arxiv.org/abs/1811.10154 #rstats #DataScience