Grappling with the Black Box: Semi-supervised and Unsupervised Learning in Medical Imaging AI #RSNA21 session R4-CIN25 today 12/2 at 1:30PM CST with @KMagudia moderating and presenting along with George Shih, @quantrad & @DrLindaMoy #AI #MachineLearning https://t.co/JSdM6pZlCy
A low resolution photo of punky-looking Zombie that has 3 attributes, a Black Lipstick, a Frown, and a Medical Mask #Text2Cryptopunks #NFTs #NFTcommuity #cryptopunks #aiart #generativeart #MachineLearning https://t.co/Sl1VG6rpHJ
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
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond https://deepai.org/publication/unbox-the-black-box-for-the-medical-explainable-ai-via-multi-modal-and-multi-centre-data-fusion-a-mini-review-two-showcases-and-beyond by Guang Yang et al. #MachineLearning #NeuralNetwork
Unpacking the Black Box in Artificial Intelligence for Medicine - Undark Magazine Read more here: https://ift.tt/2P9gpSt #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT
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
Life-or-Death Algorithms: Avoiding the Black Box of #AI in Medicine. By Thomas Hornigold in @singularityhub https://singularityhub.com/2018/12/18/life-or-death-algorithms-the-black-box-of-ai-in-medicine-and-how-to-avoid-it/ #xMed #bigdata
Sculptures or human organs? These human anatomical specimens have been used as teaching aids by the Medical Faculty of The University of Hong Kong since the 60's. But when shot close-up, in black and white, it can be hard to tell https://wired.trib.al/CYnpzxr : Chan Dick https://t.co/RaJjxvQ0Rn
#BigData Meets Big Medicine: Machine Learning, Black-Box Algorithms & the Future of Health Care Analytics… https://twitter.com/i/web/status/796453626659082249
RT @jeremiahdillon: The coming decades will bring population shrinkage not seen since the Black Death. Good for wages, bad for GDP. https://t.co/IdqRsti8nF
The black box warning along with institutional skittishness related to weight-loss medication means Novo Nordisk wants to push extra hard to get doctors ...
RT @LaMishaHill: "In 1978, there were 1,410 black male applicants to medical school, and in 2014, there were just 1,337". https://twitter.com/UCSFMedicine/status/627230990340001792
