no code implementations • 29 Oct 2019 • Neil Deshmukh, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher Bridge, Ram Naidu, Katherine Andriole, Bernardo Bizzo
Although machine learning has become a powerful tool to augment doctors in clinical analysis, the immense amount of labeled data that is necessary to train supervised learning approaches burdens each development task as time and resource intensive.
no code implementations • 14 Sep 2021 • Charles Lu, Ken Chang, Praveer Singh, Stuart Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher Bridge, Jayashree Kalpathy-Cramer
Despite the intense attention and considerable investment into clinical machine learning research, relatively few applications have been deployed at a large-scale in a real-world clinical environment.