Artificial intelligence in radiology: the ecosystem essential to improving patient care.

Journal: Clinical imaging
Published Date:

Abstract

The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. AI has the potential to be a transformative technology that will significantly impact patient care. Particularly, AI has a promising role in radiology, in which computers are indispensable and new technological advances are often sought out and adopted early in clinical practice. We present an overview of the basic definitions of common terms, the development of an AI ecosystem in imaging and its value in mitigating the challenges of implementation in clinical practice.

Authors

  • Julie Sogani
    Department of Radiology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10021, United States of America. Electronic address: jus9101@nyp.org.
  • Bibb Allen
    Department of Radiology, Grandview Medical Center, Birmingham, Alabama. Electronic address: bibb@mac.com.
  • Keith Dreyer
    Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Geraldine McGinty
    Departments of Radiology and Healthcare Policy and Research, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10021, United States of America. Electronic address: gbm9002@med.cornell.edu.