Diagnostic performance of artificial intelligence model for pneumonia from chest radiography.

Journal: PloS one
Published Date: Apr 15, 2021

Abstract

OBJECTIVE: The chest X-ray (CXR) is the most readily available and common imaging modality for the assessment of pneumonia. However, detecting pneumonia from chest radiography is a challenging task, even for experienced radiologists. An artificial intelligence (AI) model might help to diagnose pneumonia from CXR more quickly and accurately. We aim to develop an AI model for pneumonia from CXR images and to evaluate diagnostic performance with external dataset.

Authors

  • TaeWoo Kwon
    JLK, Incorporated, Eonju-ro, Gangnam-gu, Seoul, South Korea.
  • Sang Pyo Lee
    Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea.
  • Dongmin Kim
    JLK, Incorporated, Eonju-ro, Gangnam-gu, Seoul, South Korea.
  • Jinseong Jang
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea.
  • Myungjae Lee
    JLK, Incorporated, Eonju-ro, Gangnam-gu, Seoul, South Korea.
  • Shin Uk Kang
    JLK, Incorporated, Eonju-ro, Gangnam-gu, Seoul, South Korea.
  • Heejin Kim
    Korea National Tuberculosis Association (KNTA), Seoul, South Korea.
  • Keunyoung Oh
    Korea National Tuberculosis Association (KNTA), Seoul, South Korea.
  • Jinhee On
    Korea National Tuberculosis Association (KNTA), Seoul, South Korea.
  • Young Jae Kim
    Department of Biomedical Engineering, College of Medicine, Gachon University, Gyeonggi-do, Republic of Korea.
  • So Jeong Yun
    Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, South Korea.
  • Kwang Nam Jin
    Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
  • Eun Young Kim
    Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Kwang Gi Kim
    Department of Biomedical Engineering Branch, National Cancer Center, Gyeonggi-do, South Korea.

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