If you plan on attending USCAP in Baltimore, don't forget to attend API's Companion Society Meeting in BCC Room 314 Convention Center, Level 300:

Dr. Steven Hart (API Technical Standards Co-Chair, Senior Associate Consultant, Division of Computational Pathology and AI, Mayo Clinic)
Dr. Victor Brodsky (API Technical Standards Co-Chair, Associate Medical Director of Information Systems, Washington University St. Louis)
Dr. Regina Kwon (API Membership Committee, Medical Director Shared Services, University of Washington) 

"Organizational Preparedness for the Use of Large Language Models in Anatomic Pathology: Fundamental Concepts, Clinical Use Cases, and Future Challenges"

Large Language Models (LLMs) represent a revolutionary category of artificial intelligence (AI) systems that, unlike prior AI models, distinguish themselves through their vast scale and the ability to learn from a wide array of data sources. With the rise of ChatGPT, Bard, and other LLMs over the past year, their potential use in healthcare and pathology/laboratory medicine, has been both celebrated and condemned. In this session, we aim to provide a thorough understanding of what LLMs are, the considerations that arise when one looks to employ LLMs in healthcare/laboratory settings, early appropriate use cases for LLMs in anatomic pathology, and finally, how to evaluate the advantages, limitations, and overall challenges of using these models for pathology.