Automatic deep-learning AI tool measures volume of cerebral ventricles on MRIs in children

Researchers from multiple institutions in North America have developed a fully automated, deep-learning (DL), artificial-intelligence clinical tool that can measure the volume of cerebral ventricles on magnetic resonance images (MRIs) in children within about 25 minutes. The ability to track ventricular volume over time in a clinical setting will prove invaluable in the treatment of children and adults with hydrocephalus. Details on the development of the tool and its validation are reported today in a new article, "Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus," by Jennifer L. Quon, MD, and colleagues, in the Journal of Neurosurgery: Pediatrics .