UT Southwestern Study Unveils AI's Precision in Analyzing Medical Charts for Clinical Research
Yang Xie, Ph.D., Professor in the Peter O'Donnell Jr. School of Public Health and the Lyda Hill Department of Bioinformatics at UT Southwestern, is Associate Dean of Data Sciences at UT Southwestern Medical School, Director of the Quantitative Biomedical Research Center, and a member of the Harold C. Simmons Comprehensive Cancer Center. In a recent study by UT Southwestern Medical Center researchers, a popular AI program demonstrated remarkable accuracy in analyzing medical charts for clinical research and other applications. Published in NPJ Digital Medicine, the study highlights how ChatGPT, an AI chatbot designed for language-based tasks, efficiently extracts data from physicians’ clinical notes. This capability has the potential to significantly expedite clinical research and spur innovations in computerized clinical decision-making aids. Dr. Yang Xie, the study's lead author and a prominent figure at UT Southwestern, underscores the significance of this work in transforming vast amounts of free-text healthcare data into structured knowledge. Dr. Xie's expertise spans various roles at UT Southwestern Medical School, including Associate Dean of Data Sciences and Director of the Quantitative Biomedical Research Center, reaffirming the institution's commitment to advancing medical research through AI technologies.
UT Southwestern Study Unveils AI's Precision in Analyzing Medical Charts for Clinical Research
