Daphi Seminar Series: Large Language Model and Its Application in Healthcare 

On behalf of the Data Science and Artificial Intelligence for Precision Health Initiative (DAPHI) – Immuno-informatics for Health Program, please see below an invitation to our November 2024 Seminar. 

We are excited that our November Seminar will feature Xiaoqian Jiang, PhD, Associate Vice President of Medical AI at the University of Texas Health Science Center at Houston (UTHealth). 

Dr. Jiang will present his talk “Large Language Model and its application in healthcare"

Bio:

Dr. Jiang holds the Department Chair of Data Science and Artificial Intelligence position and is honored to be the Christopher Sarofim family professor. Additionally, Dr. Jiang serves as the center director of Secure Artificial Intelligence for Health Care (SAFE) at the McWilliams School of Biomedical Informatics (MSBMI). He received several NIH grants as PI, obtained career awards like CPRIT Rising Stars and UT Stars (>35 million dollars), and won several best and distinguished paper awards from American Medical Informatics Association (AMIA) Joint Summits on Translational Science (2012, 2013, 2016, 2020, 2024).  

Abstract:

Large Language Models (LLMs) have revolutionized the field of natural language processing, enabling unprecedented advancements in understanding and generating human language. In healthcare, these models hold immense potential to transform patient care, medical research, and administrative processes. This talk explores the applications of LLMs in healthcare, including their role in enhancing clinical decision support, automating administrative tasks, and improving patient engagement. I will talk about some related work and its applications in healthcare, discuss the ethical considerations and challenges of deploying these technologies. 

For more information, please contact: 

Jeanette.burns@utsouthwestern.edu or Madison.Ximenes-Merrill@UTSouthwestern.edu