EMBS Webinar series: Three uses of Generative AI in Medicine: reducing radiation, measuring global burden of disease, and happily crossing ethical boundaries
Join us for the first webinar in the EMBS Twin Cities Engineering in Medicine series, sponsored by the IEEE Engineering in Medicine and Biology Society – Twin Cities Chapter. This session will explore how generative AI tools—such as large language models and image generators—are beginning to reshape clinical care, research, and global health measurement. We will discuss how Denoising Diffusion Probabilistic Models (DDPM) can reduce radiation dose in breast imaging while preserving diagnostic quality, how synthetic data can help address bias and gaps in real‑world healthcare datasets, and how GenAI is being deployed to summarize medical visits and navigate complex electronic health records. The webinar will close with an open, interactive discussion on where these tools “happily cross ethical boundaries,” examining unresolved questions around safety, transparency, consent, and equity in and beyond healthcare. Speaker(s): Fred Nugen, Agenda: 1 hour of a virtual talk followed by questions. Virtual: https://events.vtools.ieee.org/m/548861