by Bill Snyder
How artificial intelligence (AI) is transforming patient care will be discussed by three Vanderbilt University researchers during a Cutting-Edge Discovery Lecture on Oct. 24. The lecture will begin at 4 pm in 208 Light Hall.
The speakers and their topics include:
- Bennett Landman, PhD, director of the Center for Computational Imaging in the Vanderbilt University Institute of Imaging Science, “Scalable AI for Radiology: Learning to Improve Patient Care with ImageVU’s 100 Trillion Pixels;”
- Bradley Malin, PhD, professor of Biomedical Informatics, Biostatistics and Computer Science in the School of Medicine, “How to Support Scientific Progress in Large Biomedical Research Cohorts Without Killing Privacy Along the Way;” and
- Colin Walsh, MD, MA, assistant professor of Biomedical Informatics, Medicine and Psychiatry and Behavioral Sciences, “Artificial Intelligence and Decision Support to Prevent Suicide.”
Artificial intelligence is the development of computer systems, often called smart machines, that can perform tasks which typically require human intelligence.
Landman is an associate professor in the departments of Electrical Engineering, Computer Engineering and Computer Science, Radiology and Radiological Sciences, Psychiatry and Behavioral Sciences, Biomedical Engineering, and Biomedical Informatics.
He directs the ImageVU Initiative at Vanderbilt University Medical Center, which combines image-processing technologies and electronic health data to improve understanding of individual anatomy and personalized (precision) medicine.
Malin is vice chair for Research and director of the Health Information Privacy Laboratory in the Department of Biomedical Informatics, and co-director of the Health Data Science Center, the Center for Genetic Privacy and Identity in Community Settings and the Big Biomedical Data Science PhD program.
He also co-chairs the Committee on Access, Privacy, and Security of the All of Us Research Program, a historic effort supported by the National Institutes of Health to gather health data from one million or more people in the United States.
Walsh’s research is focused on predictive analytics applied to vulnerable populations including people with mental illness and those at risk of committing suicide. The goal is to “translate healthcare data into action” through machine learning and decision support.
Part of the Flexner Discovery Lecture Series, their talks are sponsored by Jennifer Pietenpol, PhD, VUMC’s Executive Vice President for Research, and Lawrence Marnett, PhD, Dean of Basic Sciences in the School of Medicine.
For a complete schedule of the Flexner Discovery Lecture series and archived video of previous lectures, go to www.mc.vanderbilt.edu/discoveryseries.
