Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.

Journal: Journal of medical imaging and radiation sciences
Published Date: Oct 7, 2019

Abstract

Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An understanding of the principles and application of radiomics, artificial neural networks, machine learning, and deep learning is an essential foundation to weave design solutions that accommodate ethical and regulatory requirements, and to craft AI-based algorithms that enhance outcomes, quality, and efficiency. Moreover, a more holistic perspective of applications, opportunities, and challenges from a programmatic perspective contributes to ethical and sustainable implementation of AI solutions.

Authors

  • Geoff Currie
    School of Dentistry and Health Sciences, Charles Sturt University, Wagga Wagga, Australia gcurrie@csu.edu.au.
  • K Elizabeth Hawk
    Stanford University, Stanford, California, USA.
  • Eric Rohren
    Baylor College of Medicine, Houston, Texas, USA.
  • Alanna Vial
    University of Wollongong, Wollongong, NSW, Australia.
  • Ran Klein
    University of Ottawa, Ottawa, Ontario, Canada.

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