Australian perspectives on artificial intelligence in medical imaging.

Journal: Journal of medical radiation sciences
Published Date: Sep 1, 2022

Abstract

INTRODUCTION: While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked interest in medical imaging, there has been little commentary on the impact of AI on imaging technologists. The aim of this survey was to understand the attitudes, applications and concerns among nuclear medicine and radiography professionals in Australia with regard to the rapidly emerging applications of AI.

Authors

  • Geoffrey Currie
    School of Dentistry & Health Sciences, Charles Sturt University, Wagga Wagga, Australia. Electronic address: gcurrie@csu.edu.au.
  • Tarni Nelson
    School of Dentistry & Medical Sciences, Charles Sturt University, Port Macquarie, Australia.
  • Johnathan Hewis
    School of Dentistry & Medical Sciences, Charles Sturt University, Port Macquarie, Australia.
  • Amanda Chandler
    School of Dentistry & Medical Sciences, Charles Sturt University, Port Macquarie, Australia.
  • Kelly Spuur
    School of Dentistry & Medical Sciences, Charles Sturt University, Wagga Wagga, Australia.
  • Caroline Nabasenja
    School of Dentistry & Medical Sciences, Charles Sturt University, Port Macquarie, Australia.
  • Cate Thomas
    School of Dentistry & Medical Sciences, Charles Sturt University, Wagga Wagga, Australia.
  • Janelle Wheat
    School of Dentistry & Medical Sciences, Charles Sturt University, Wagga Wagga, Australia.

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