Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

Journal: Academic radiology
Published Date: Jan 1, 2020

Abstract

RATIONALE AND OBJECTIVES: Our primary aim was to improve radiology reports by increasing concordance of target lesion measurements with oncology records using radiology preprocessors (RP). Faster notification of incidental actionable findings to referring clinicians and clinical radiologist exam interpretation time savings with RPs quantifying tumor burden were also assessed.

Authors

  • Huy M Do
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA. Electronic address: huy.do@nih.gov.
  • Lillian G Spear
    Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Current Affiliation: University of Maryland, College Park, Maryland.
  • Moozhan Nikpanah
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA.
  • S Mojdeh Mirmomen
    Advanced Cardiovascular Imaging Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Laura B Machado
    Department of Radiology, Mercy Catholic Medical Center, Conshohocken, Pennsylvania.
  • Alexandra P Toscano
    Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Current Affiliation: University of Maryland, College Park, Maryland.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Mohammad Hadi Bagheri
    Clinical Image Processing Service, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892-1182, USA.
  • James L Gulley
    Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Les R Folio
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.

Keywords

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