Posts by Jennifer Kim, MD, PhD
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Neural Network Beats Experts at Detecting Epileptiform Discharges on EEGs
SpikeNet, a computer algorithm that analyzes EEG waveforms, was more accurate than fellowship-trained clinical neurophysiologists and the standard commercial software at detecting interictal epileptiform discharges.
Biography
Dr. Kim is a critical care neurologist with expertise in quantitative analysis of critical care electroencephalography and neuroimaging. Dr. Kim graduated from Brown University for her undergraduate and M.D.-Ph.D. degrees. She completed her residency in Neurology followed by a neurocritical care fellowship at Massachusetts General and Brigham & Women's Hospitals. Dr. Kim is dedicated to advancing the early diagnosis and treatment of patients with devastating neurologic injury who are at highest risk for short and long-term complications. Dr. Kim is applying novel computational methods to the data gathered within the neurologic intensive care unit to predict patients who are at high risk for further injury. Her ultimate goal is to use these predictions to optimize treatment strategies which prevent these complications.