University of Florida Health and NVIDIA researchers have developed GatorTron™, a natural language processing system that extracts massive volumes of information from patient records with unprecedented speed and clarity. GatorTron™ will enable researchers to quickly identify relevant patients for lifesaving clinical trials and other studies. It is also expected to accelerate the development of medical applications with improved predictive, preventive and intervention capabilities.
By training GatorTron™ to understand the language of these records and recognize complex medical terms, UF Health researchers and NVIDIA developers have created a way to unlock that information quickly and easily, said William Hogan, M.D., one of the project’s lead researchers, the director of biomedical informatics and data science in the UF College of Medicine’s department of health outcomes and biomedical informatics as well as a member of the UF Health Cancer Center. Hogan is also director of biomedical informatics at the UF Clinical and Translational Science Institute (CTSI) and the OneFlorida Clinical Research Consortium.
Hogan estimates that up to 80% of information that is valuable to researchers and physicians is contained in the full-text clinical notes of patients’ medical records. Now, the speed and precision of GatorTron™’s language recognition makes all of that quickly accessible, he said.
Watch the GatorTron video.
Read the GatorTron news release.