Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs.

Journal: PloS one
Published Date:

Abstract

PURPOSE: To assess experience with and perceptions of clinical application of artificial intelligence (AI) to chest radiographs among doctors in a single hospital.

Authors

  • 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.
  • Seungsoo Lee
    Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.
  • Sungwon Kim
    Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju, Republic of Korea.
  • Nak-Hoon Son
    Department of Statistics, Keimyung University, 1095, Dalgubeol-daero, Dalseo-gu, Daegu , 42601, 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.