Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: The efficient and accurate interpretation of radiologic images is paramount.

Authors

  • Jong Seok Ahn
    Lunit Inc., Seoul, Korea.
  • Shadi Ebrahimian
  • Shaunagh McDermott
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Sanghyup Lee
    Lunit, Inc, Seoul, South Korea.
  • Laura Naccarato
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • John F Di Capua
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Markus Y Wu
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Eric W Zhang
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Victorine Muse
    Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States of America.
  • Benjamin Miller
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Farid Sabzalipour
    Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Bernardo C Bizzo
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.
  • Keith J Dreyer
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.
  • Parisa Kaviani
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, Massachusetts.
  • Subba R Digumarthy
    Massachusetts General Hospital, Department of Radiolgoy, United States.
  • Mannudeep K Kalra