Artificial Intelligence: Threat or Boon to Radiologists?

J Am Coll Radiol. 2017 Nov;14(11):1476-1480. doi: 10.1016/j.jacr.2017.07.007. Epub 2017 Aug 19.

Abstract

The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiology. But rather than being a significant threat to radiologists, we believe these changes, particularly machine learning/artificial intelligence, will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction.

Keywords: Machine learning; artificial intelligence; computer-assisted diagnosis/detection; efficiency; value.

MeSH terms

  • Artificial Intelligence / statistics & numerical data*
  • Clinical Competence
  • Efficiency
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods
  • Pattern Recognition, Automated / methods
  • Personal Satisfaction
  • Practice Patterns, Physicians'
  • Radiologists*
  • Reimbursement Mechanisms