A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.

Journal: Thyroid : official journal of the American Thyroid Association
Published Date: Apr 1, 2017

Abstract

BACKGROUND: An initial clinical assessment is described of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and its performance is evaluated in the diagnosis of malignant thyroid nodules and categorization of nodule characteristics.

Authors

  • Young Jun Choi
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Jung Hwan Baek
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Hye Sun Park
    Division of Endocrinology and Endocrine Research Institute, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Woo Hyun Shim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Tae Yong Kim
    2 Department of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Young Kee Shong
    2 Department of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Jeong Hyun Lee
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.

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