Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs.

Journal: PloS one
Published Date:

Abstract

PURPOSE: Detection of early lung cancer using chest radiograph remains challenging. We aimed to highlight the benefit of using artificial intelligence (AI) in chest radiograph with regard to its role in the unexpected detection of resectable early lung cancer.

Authors

  • Se Hyun Kwak
    Division of Pulmonology, Department of Internal Medicine, Allergy and Critical Care Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Gyeonggi-do, Republic of Korea.
  • Eun-Kyung Kim
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
  • Myung Hyun Kim
    Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Gyeonggi-do, Republic of Korea.
  • Eun Hye Lee
    Department of Radiology, Soonchunhyang University Hospital Bucheon, Soonchunhyang University College of Medicine, Bucheon, South Korea.
  • Hyun Joo Shin
    Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Korea. lamer-22@yuhs.ac.