Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network.

Journal: AJR. American journal of roentgenology
Published Date: Jan 30, 2019

Abstract

OBJECTIVE: Radiology reports are rich resources for biomedical researchers. Before utilization of radiology reports, experts must manually review these reports to identify the categories. In fact, automatically categorizing electronic medical record (EMR) text with key annotation is difficult because it has a free-text format. To address these problems, we developed an automated system for disease annotation.

Authors

  • Changhwan Lee
    1 Department of Biomedical Engineering, Hanyang University, Seoul, Korea.
  • Yeesuk Kim
    2 Department of Orthopedic Surgery, College of Medicine, Hanyang University, Seoul, Korea.
  • Young Soo Kim
    3 Department of Neurosurgery, School of Medicine, Hanyang University, Seoul, Korea.
  • Jongseong Jang
    2 Institute of Innovative Surgical Technology, Hanyang University, Seoul, Korea.

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