Search AMIA.org

As part of the Department of Energy’s partnership with the National Cancer Institute, the Modeling Outcomes Using Surveillance Data and Scalable AI for Cancer (MOSSAIC) project aims to develop deep learning models to support near-real-time cancer surveillance at the population level. Through the NCI’s Surveillance, Epidemiology, and End Results (SEER) program, we deploy models for the automated coding of cancer cases across state and regional cancer registries throughout the United States.

In this session, Dr. Peterson and Dr. Ryu will discuss their journey building an LLM application at Mayo Clinic that scaled from an idea to thousands of active users. Attention to product design and AI safety were two key factors that enabled this success and will be the focus of the session.