Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models.

Abstract

Authors

• Marcel C Langenbach
  Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. mlangenbach@mgh.harvard.edu.
• Borek Foldyna
  From the MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, 1122 Budapest, Hungary (M.K., J.K., B.M., P.M.H.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (J.K., Y.K., A.I., M.T.L., B.F., H.J.A., U.H.); Center for Cause of Death Investigation, Faculty of Medicine, Hokkaido University, Hokkaido, Japan (Y.K.); Department for Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Freiburg, Germany (C.L.S.); and Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (H.J.A.).
• Ibrahim Hadzic
  Maastricht University Medical Centre, Netherlands.
• Isabel L Langenbach
  Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
• Vineet K Raghu
  Department of Computer Science, University of Pittsburgh, Pittsburgh, PA, USA.
• Michael T Lu
  Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.
• Tomas G Neilan
  Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
• Julius C Heemelaar
  Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Keywords

External Resources