Palmer Commons, Forum Hall
"Instrumenting the Health Care Enterprise for Discovery in the Course of Clinical Care"
Abstract
Large Language Models (LLMs) are revolutionizing healthcare by enhancing clinical decision support, automating medical coding, and personalizing patient care. This presentation delves into the key applications of LLMs in healthcare, highlighting their ability to process vast medical data for improved diagnoses and patient outcomes. It also addresses significant challenges, such as data privacy, bias, regulatory compliance, and model interpretability. Join us to explore how LLMs are transforming healthcare and the solutions needed to maximize their potential while ensuring patient safety.
Associate Vice President of Medical AI
Christopher Sarofim family professor
Center director of Secure Artificial intelligence For hEalthcare (SAFE)
Chair of Department of Data Science and Artificial Intelligence
Dr. Jiang has received extensive training in machine learning and biomedical informatics, obtaining a Ph.D. from Carnegie Mellon University and completing a postdoctoral program at UC San Diego. He specializes in privacy-preserving data mining, federated learning, and co-teaching models for knowledge and data. Over the course of 15 years, Dr. Jiang has dedicated himself to bridging the gap between these two fields, focusing on developing innovative AI models tailored to the unique challenges of healthcare data, such as sparsity, errors, and missing information. His contributions have been recognized with multiple prestigious awards, including several best and distinguished paper awards from the American Medical Informatics Association (AMIA) Joint Summits on Translational Science in 2012, 2013, and 2016, as well as the AMIA annual symposium in 2020. In addition, Dr. Jiang has secured grants from the National Institutes of Health (NIH), including R00, R13, R21, R01, and U01 grants, and has been honored with career awards such as the CPRIT Rising Stars and UT Stars. He has also been the recipient of best and distinguished paper awards at the AMIA Annual Symposiums and the Joint Summits on Translational Science in 2012, 2013, 2016, and 2020. Furthermore, Dr. Jiang is actively involved in organizing the iDASH Genome Privacy competition since 2014, an event that has garnered attention from Nature News and GenomeWeb.
Assistant Professor
