A combination of radiologists and AI reduced overdiagnosis and more accurately identified breast cancer in ultrasound exams.
Scientists combine particle physics and neuroscience to visualize a key element of the nervous system.
NYU researchers won a deep learning challenge to detect lesions in digital breast tomosynthesis (DBT) images. We discuss the obstacles that DBT poses to deep learning and look at how our team navigated them.
Scientists show that MRI signal can detect axonal features long assumed to be beyond the reach of magnetic resonance imaging.
NIH-funded deep learning research at NYU Grossman School of Medicine promises to predict progression of knee osteoarthritis.