Science & Technology

Advances in medical imaging and artificial intelligence have revolutionized many aspects of medical practice, but it can be hard to know if a given measurement tool works as intended. A technique developed by WashU researchers can be used to assess the reliability of quantitative imaging tools.

Thomas Kannampallil, a professor of anesthesiology at WashU Medicine, is recognized for his expertise in AI-based technology designed to improve healthcare.

As the fall semester approaches, WashU’s AI initiative is driving academic innovation across schools and disciplines.

An AI-enabled software tool developed by WashU Medicine researchers is the first device to predict malignant cerebral edema, a dangerous complication of acute stroke.

C-BRAIN, the consortium co-founded by WashU Medicine and directed by neurologist Randall J. Bateman, MD, brings together members from academia, major pharmaceutical companies and philanthropic organizations.

WashU Medicine and BJC doctors can now focus less on note-taking and more on interacting with patients with the aid of an AI transcriber.

Jiaxin Huang, at WashU McKelvey Engineering, will create an efficient multi-step reasoning framework for large language models with a CAREER award from the National Science Foundation.

Nathan Jacobs, a computer scientist at WashU McKelvey Engineering, and collaborators plan to develop a geospatial artificial intelligence tool to find early signs of instability in crop production.

AI for Health Institute researchers at WashU developed a framework that helps clinical language models know when to be confident and when to be cautious.

Nathan Jacobs’ lab at WashU tackles detecting AI-generated images with the real thing.