External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published Date: Sep 26, 2023

Abstract

BACKGROUND: There have been no reports on diagnostic performance of deep learning-based automated detection (DLAD) for thoracic diseases in real-world outpatient clinic.

Authors

  • Da Eul Lee
    Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
  • Kum Ju Chae
    Department of Radiology, Chonbuk National University Hospital, 20 Geonji-ro, Geumam 2(i)-dong, Deokjin-gu, Jeonju, Jeollabuk-do 54907, South Korea.
  • Gong Yong Jin
    Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju City, Jeollabuk-Do, South Korea.
  • Seung Yong Park
    Department of Internal Medicine, Division of Respiratory Medicine and Allergy, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
  • Jae Seok Jeong
    Department of Internal Medicine, Division of Respiratory Medicine and Allergy, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
  • Su Yeon Ahn
    Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.

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