M Brandon Westover
Neurologist, Medical Ai Researcher @Massachusetts General Hospital
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WORK HISTORY
Neurologist, Medical Ai Researcher @Massachusetts General Hospital
M. Brandon Westover, MD, PhD obtained a PhD working in the field of information theory and computer vision, and currently is a clinical neurophysiologist and epileptologist at Harvard Medical School / Beth Israel Deaconess Medical Center. He directs the MGH Critical Care EEG Monitoring Service and the Clinical Data Animation Center (CDAC). His research uses “Big Data” and artificial intelligence to improve medical care for patients with anoxic brain injury, seizures and seizure-like brain states, cerebral ischemia, delirium, and sleep disorders, and to develop closed-loop control technology for precision control of anesthesia in the ICU.
EDUCATION
Massachusetts Geneeral Hospital
Epilepsy / Clinical Neurophysiology Fellowship, Clinical Neurophysiology and Epilepsy
Harvard Medical School
Resident in Neurology, Neurology Residency Program
Washington University in St. Louis
Doctor of Philosophy - PhD, Physics, Information Theory, Machine Learning
Washington University School of Medicine in St. Louis
Doctor of Medicine - MD, Medicine
ABOUT M BRANDON WESTOVER
M. Brandon Westover, MD, PhD obtained a PhD in Physics, working in the field of information theory and computer+biological vision. He is board certified practicing Neurologist and a clinical neurophysiologist / epileptologist at Beth Israel Deaconess Medical Center (BIDMC). He directs the BIDMC Critical Care EEG Monitoring Service and the Clinical Data Animation Center (CDAC). His research uses “Big Data” and develops Artificial Intelligence / Machine Learning methods to improve medical care for patients with anoxic brain injury, seizures and seizure-like brain states, cerebral ischemia, delirium, and sleep disorders, and to develop closed-loop control technology for precision control of anesthesia in the ICU. Author of \"Pocket Neurology\"(http://amzn.to/2p5KZ3h).Research Expertise- MEDICAL MACHINE LEARNING / ARTIFICIAL INTELLIGENCE- BRAIN MONITORING- BIG DATA ANALYTICS (machine learning and signal processing)- STATISTICAL MODELING including health economic
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