2 papers
cs.AI2026
Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints
Omid Bazgir, Md Nasir, Jacob Hoffman +6
Synthetic clinical benchmarks for enterprise AI agents can pass existing utility checks and still remain structurally unrealistic, especially in privacy-sensitive healthcare settin…
cs.CV2018
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher +11
Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been re…