Artificial intelligence (AI) and machine learning are increasingly being applied to medicine in novel and diverse ways. Rima Arnaout, MD, joins us to demonstrate how machine learning research can be used in cardiovascular imaging. She will also explain how to evaluate new research on machine learning/AI and break down the complexities of convolutional neural networks and how they relate to the larger fields of cardiology and imaging.
Speaker: Rima Arnaout, MD is an associate professor of cardiology, a Chan Zuckerberg Biohub investigator, and a faculty member in the Bakar Computational Health Sciences Institute, the Biological and Medical Informatics program, and the Center for Intelligent Imaging at UCSF. She is investigating whether machine learning can be used to detect standard and novel patterns in biomedical imaging in a scalable fashion, with the goals of decreasing diagnostic error in medical imaging and uncovering new phenotypes for precision medicine research.
From leveraging EHR data to using real-world evidence for drug discovery, our next Medicine Grand Rounds will delve into how developments in data science are advancing patient care and research. Uma Mahadevan, MD, professor in the Division of Gastroenterology at UCSF Health, will discuss how data applies to research. Marina Sirota, PhD, assistant professor at the Bakar Computational Health Sciences Institute at UCSF, will describe the new era of precision medicine. Erica Farrand, MD, assistant professor in the Division of Pulmonary, Critical Care, Allergy and Sleep Medicine at UCSF Health, will review the UCSF resources available for real-world data analysis. Atul Butte, MD, PhD, director of the Bakar Computational Health Sciences Institute at UCSF and chief data scientist for the entire University of California Health System, will view this topic through a UC-wide lens. Speakers: Uma Mahadevan, MD, is a professor in the Division of Gastroenterology at UCSF Health, director of the UCSF Colitis and Crohn’s Disease Center and director of the Inflammatory Bowel Disease Fellowship. Uma is a fellow of the American Gastroenterological Association and the American College of Gastroenterology. Marina Sirota, PhD, is an assistant professor at the Bakar Computational Health Sciences Institute at UCSF, where she develops computational integrative methods and applies them to disease diagnostics and therapeutics. She is also the director of the AI4ALL program at UCSF, which introduces high school girls to AI and machine learning in biomedicine. Erica Farrand, MD is an assistant professor in the Division of Pulmonary, Critical Care, Allergy and Sleep Medicine at UCSF Health. Her scholarship focuses on defining, assessing and improving the health care quality, safety, and outcomes for individuals with interstitial lung disease. Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg distinguished professor and inaugural director of the Bakar Computational Health Sciences Institute at UCSF. Atul is also the chief data scientist for the entire University of California Health System.