New AI tool makes medical imaging process 90% more efficient
HOUSTON – (Oct. 14, 2025) – When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny for instance, its different parts have to be labeled as such, pixel by pixel: cerebral cortex, brain stem, cerebellum, etc. The process, called medical image segmentation, guides diagnosis, surgery planning and research.
In the days before artificial intelligence (AI) and machine learning (ML), clinicians performed this crucial yet painstaking and time-consuming task by hand, but over the past decade, U-nets ⎯ a type of ...