Tag: AI for Health Institute

Researchers define new subtypes of common brain disorder

Roughly 4% of the population is affected by a congenital brain malformation that has eluded researchers’ efforts to find causes and treatments. For the condition, Chiari type-1 malformation, the diagnosis is straightforward: the lower part of the brain, known as the cerebellum, protrudes at least five millimeters through the gap in the skull that connects […]

New machine learning method can better predict spine surgery outcomes

Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more accurately gauge how patients may recover from spine surgery. Using machine-learning techniques developed at the AI for Health Institute at Washington University in St. Louis,  Chenyang Lu, PhD, the Fullgraf Professor at the university’s McKelvey School of Engineering, collaborated with Jacob […]