Medical Xpress July 29, 2025
A multidisciplinary team at UT Southwestern Medical Center has developed an AI-enabled pipeline that can quickly and accurately extract relevant information from complex, free-text medical records. The team’s novel approach, published in npj Digital Medicine, could dramatically reduce the time needed to create analysis-ready data for research studies.
“Constructing highly detailed, accurate datasets from free-text medical records is extremely time-consuming, often requiring extensive manual chart review,” said study first author David Hein, M.S., Data Scientist in the Lyda Hill Department of Bioinformatics at UT Southwestern.
“Our study demonstrates one approach for creating AI-powered large language models (LLMs) that simplify the process of collecting and organizing medical data for analysis. By automating both data extraction and standardization through AI, we can...
Today's Sponsors
Today's Sponsor