Ethical considerations in artificial intelligence.

Journal: European journal of radiology
Published Date: Nov 23, 2019

Abstract

With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - particularly radiology - AI is anticipated to facilitate improved diagnostics, workflow, and therapeutic planning and monitoring. And, while it is also causing some trepidation among radiologists regarding its uncertain impact on the demand and training of our current and future workforce, most of us welcome the potential to harness AI for transformative improvements in our ability to diagnose disease more accurately and earlier in the populations we serve.

Authors

  • Nabile M Safdar
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia. Electronic address: nmsafda@emory.edu.
  • John D Banja
    Department of Rehabilitation Medicine, Emory University, Atlanta, Georgia; Center for Ethics, Emory University, Atlanta, Georgia.
  • Carolyn C Meltzer
    Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia; Department of Neurology, Emory University, Atlanta, Georgia. Electronic address: cmeltze@emory.edu.

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