Working Group Webinar Library

Concerns around rigor, transparency, and reproducibility have increasingly come to the forefront of biomedical research. In response, the research community has developed a range of standards, guidelines, and best practices to improve how studies are conducted and reported.

This talk shares insights from real-world use of text-based AI at the bedside—from opioid misuse screening via EHR notes to Ambient AI for automating documentation—highlighting both opportunities and risks, as well as approaches for evaluation and improvement.

Developing equitable, sustainable informatics solutions is key to scalability and long-term success for projects in the global health informatics (GHI) domain. This webinar presents key strategies for incorporating principles of health equity in the GHI project lifecycle.

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.

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.