Demystifying AI in Clinical Practice

From the Applied Radiology booth at RSNA, one of the most technically rich—and clinically consequential—conversations focused on the evolving role of quantitative imaging in neuroradiology. In a live discussion, Lawrence Tanenbaum, MD sat down with Suzie Bash, MD to examine how volumetric and quantitative tools are reshaping diagnosis, longitudinal surveillance, and treatment decision-making.

Creators and Guests

Host
Lawrence Tanenbaum, MD
Guest
Suzie Bash, MD
Suzie Bash, MD, is a neuroradiologist and a medical director at RadNet. She previously served as an assistant professor of neuroradiology at the University of California, Los Angeles (UCLA), where earlier she had completed a two-year neuroradiology fellowship and residency. Dr. Bash’s passion and interests lie in AI applications in advanced neuroimaging which add patient-centric value, quality and efficiency. She has a special interest in dementia imaging and Alzheimer’s disease educational initiatives.

What is Demystifying AI in Clinical Practice?

Short one-on-one conversations with practicing radiologists and industry experts on how and where AI is being used in clinical practice today.