If you were going to train an artificial intelligence (AI) system to understand and accurately diagnose medical images, what kind of information do you think would be most effective: lots of general image data, or small amounts of specific data?
As a child I liked robots. Growing up in Korea, I liked cartoons and movies where people were on a mission to save the world with the robots they invented, and I wanted to develop a superhero robot someday, too. While my robot isn’t yet complete, the path I followed in pursuit of my goals eventually led me to explore data analysis.
And here I am, a postdoc at the NIH—probably the largest healthcare research institution in the world—in the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory led by Dr. Ronald M. Summers. Our lab is part of the Department of Radiology and Imaging Sciences at the NIH Clinical Center.
So, it happened, the day the NIH community was waiting for: Postbac Poster Day. The Bethesda campus buzzed with anticipation, and the postbacs did not disappoint. With 580 poster presenters, a lot of research projects and science was shared.
Using real-time MRI, Dr. Keith Horvath's group at the NIH's National Heart, Lung, and Blood Institute (NHLBI) can precisely implant a replacement porcine heart valve using a collapsible stent more safely and quickly than with standard techniques.
"The reason for using [real-time] MRI is three-fold," Dr. Horvath explains...
Have you ever wondered why someone becomes a biochemist or a biophysicist, or how to find a career in both fields at the same time? Peter Bandettini, Ph.D., is Director of the Functional Magnetic Resonance Facility and Chief of the Unit on Functional Imaging Methods at the National Institute of Mental Health (NIMH). In the interview below, he shares some thoughts on what motivates him and what it's like working at the NIH IRP.
