Automating Clinical Neurophysiology
Description
Dr. Westover will discuss progress in using machine learning to advance healthcare for patients with neurological problems. He will describe the development and use of the world’s largest sets of labeled electroencephalography (EEG) data for the following clinically-relevant outcomes: detecting epileptic spikes to enable automated diagnosis of epilepsy; detecting seizures to enable continuous automated brain monitoring for harmful events in ICU patients; recognizing pathological patterns in sleep EEG and breathing data, to automate the evaluation of sleep disorders, and to measure a patient’s “brain age.”
Speaker Bio
Brandon Westover, MD, PhD obtained his PhD in Physics working in information theory and computer vision. He is a board certified practicing Neurologist and Clinical Neurophysiologist at Massachusetts General Hospital (MGH), where he directs the MGH Critical Care EEG Monitoring Service and the MGH Clinical Data Animation Center (CDAC). His research uses “Big Data” and machine learning / AI approaches to improve medical care for patients with neurophysiological disorders including epilepsy, anoxic brain injury, seizures, stroke, sleep disorders, and delirium.