Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.

Journal: Emergency radiology
Published Date:

Abstract

PURPOSE: (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiographs, and (2) evaluate its generalizability by comparing its performance on internal versus external test datasets.

Authors

  • Kevin Z Xin
    Transitional Year Program, Mount Carmel Health System, Grove City, OH, USA.
  • David Li
    Department of Preclinical Research, Angion Biomedica Corporation, Nassau, NY 11553, USA. david_li@college.harvard.edu.
  • Paul H Yi
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: Pyi10@jhmi.edu.