Use of Natural Language Processing (NLP) in Evaluation of Radiology Reports: An Update on Applications and Technology Advances.

Journal: Seminars in ultrasound, CT, and MR
Published Date: Feb 11, 2022

Abstract

Natural language processing (NLP) is focused on the computer interpretation of human language and can be used to evaluate radiology reports and has demonstrated useful applications in essentially all aspects of medical imaging delivery: interpretation of imaging data, improving image acquisition, image analysis, and increasing efficiency of imaging services. This manuscript reviews general technologic approaches to NLP at a level hopefully understandable by clinical radiologists, discusses recent advancements in NLP techniques, and discusses current and potential applications of NLP in radiology.

Authors

  • Lane F Donnelly
    Department of Radiology, Texas Children's Hospital, Houston, Texas; Department of Radiology, Stanford University, Stanford, California. Electronic address: lane.donnelly@stanford.edu.
  • Robert Grzeszczuk
    InContext, Houston, Texas.
  • Carolina V Guimaraes
    Department of Radiology, Texas Children's Hospital, Houston, Texas; Department of Radiology, Stanford University, Stanford, California.

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