Forecasting trends of rising emergency department chest imaging using machine learning.

Journal: Emergency radiology
PMID: 40055274

Abstract

INTRODUCTION: Imaging studies in the acute care setting, such as the emergency room, have been increasing. In this report, we use the Centers for Medicare and Medicaid services (CMS) database to assess trends in ED chest CT and chest CTA imaging in ED from 2010 to 2021. In addition, we forecast the utilization of these imaging modalities until 2030 to predict volume of studies using machine learning models.

Authors

  • Sishir Doddi
    University of Toledo College of Medicine, Toledo, OH, United States. Electronic address: sishir.doddi@utoledo.edu.
  • Oscar Salichs
    University of Toledo College of Medicine, Toledo, OH, United States.
  • Shruthi Karthika Varier
    University of Toledo College of Medicine, Toledo, OH, USA.
  • Ashish Khandelwal
    Department of Radiology, Mayo Clinic, 200 First St, Rochester, MN, 55902, USA.
  • Satheesh Krishna Jeyaraj
    Department of Medical Imaging, University of Toronto, 585 University Avenue, Toronto, ON, M5G 2N2, Canada.
  • Sree Harsha Tirumani
    Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.

Keywords

External Resources

Popular Topics
Recent Journals