Working Group Webinar Library

Large language models (LLMs) have shown remarkable potential in the medical domain, with specialized medical LLMs developed and applied across a variety of tasks. However, their effectiveness in medicine remains uncertain, and practical guidance for their deployment in specific applications is still limited.

This month features Dr. Romero-Brufau, Director of AI for the Department of ENT at Mayo Clinic, where he is also Assistant Professor of ENT and Healthcare Systems Engineering. He will share AI and clinical informatics research information and career insights.

Accessing laboratory test results is the most common activity on patient portals, yet many patients—especially older adults with multiple chronic conditions—struggle to interpret their meaning. In this webinar, we will present a series of studies conducted as part of LabGenie.

This month features James McClay, MD, MS, FACEP, FAMIA, Chief Research Informatics Officer, School of Medicine, University of Missouri, Columbia Missouri.

The explosion of biomedical big data and information over the past decade has created new opportunities for discoveries that can improve the treatment and prevention of human diseases. As a result, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk will present the use of AI and large language models (LLMs) in recent natural language processing (NLP) research, highlighting their capabilities and limitations in various information-extraction tasks. We will also discuss the use of retrieval-augmented generation to improve standard LLMs in medicine and conclude with a case study on leveraging LLMs to assist and enhance efficiency in patient-to-trial matching. Presenter