Over the past three decades, Maryellen Giger, PhD, A.N. Pritzker Distinguished Service Professor of Radiology, has been conducting research on computer-aided diagnosis, including computer vision, machine learning, and deep learning, in the areas of breast cancer, lung cancer, prostate cancer, lupus, and bone diseases.
Now Giger and her team have applied this research to neuro-imaging, in collaboration with Fernando Goldenberg, MD, Professor of Neurology and Neurosurgery and co-director of the comprehensive stroke center and director of neuroscience critical care at UChicago Medicine. The research team also includes Jordan Fuhrman, a PhD student in Giger’s lab in the Committee on Medical Physics and the Department of Radiology, and Ali Mansour, MD, an Assistant Professor of Neurology and Neurosurgery with expertise in advanced clinical neuroimaging and machine learning.
The goal of this multi-department research was to see if machine-learning could help clinicians at the hospital better assess hypoxic-ischemic brain injury (HIBI), which can occur when the brain does not receive enough oxygen during cardiac arrest. The extent of this damage depends on several variables, including the baseline characteristics of the brain and its vascular supply, duration of oxygen deprivation, and cessation of blood flow.
Read more about the project from the Polsky Center.