Automatic Detection of Thyroid and Adrenal Incidentals Using Radiology Reports and Deep Learning.

Journal: The Journal of surgical research
Published Date: Oct 1, 2021

Abstract

BACKGROUND: Computed tomography (CT) is commonly performed when evaluating trauma patients with up to 55% showing incidental findings. Current workflows to identify and inform patients are time-consuming and prone to error. Our objective was to automatically identify thyroid and adrenal lesions in radiology reports using deep learning.

Authors

  • Stephen P Canton
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Esmaeel Dadashzadeh
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; University of Pittsburgh Department of Biomedical Informatics, Pittsburgh, Pennsylvania; University of Pittsburgh Department of Surgery, Pittsburgh, Pennsylvania.
  • Linwah Yip
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; University of Pittsburgh Department of Surgery, Pittsburgh, Pennsylvania.
  • Raquel Forsythe
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; University of Pittsburgh Department of Surgery, Pittsburgh, Pennsylvania.
  • Robert Handzel
    Department of Surgery, University of Pittsburgh Medical Center, PA.

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