@MariaJRibal 1 year ago
Outstanding lecture by @NDowJames at #AAEU2022 in Malmö on how #BigData could change paradigms in #medicine. We need to think out of the box and have clear objectives, and learn form our own mistakes. Working together is the only way to move forward. Sharing is key for future https://t.co/YxaVaSMi15
@DukeRadiology 2 years ago
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
@INM7_ISN 2 years ago
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
@arXiv_Daily 3 years ago
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
@TechRadar 3 years ago
Razer Hazel Demo and Project Brooklyn | CES 2021
@IainLJBrown 4 years ago
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
@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