Trustworthy Artificial Intelligence in Medical Imaging

PET Clin. 2022 Jan;17(1):1-12. doi: 10.1016/j.cpet.2021.09.007.

Abstract

Trust in artificial intelligence (AI) by society and the development of trustworthy AI systems and ecosystems are critical for the progress and implementation of AI technology in medicine. With the growing use of AI in a variety of medical and imaging applications, it is more vital than ever to make these systems dependable and trustworthy. Fourteen core principles are considered in this article aiming to move the needle more closely to systems that are accurate, resilient, fair, explainable, safe, and transparent: toward trustworthy AI.

Keywords: Ethics of AI; Machine learning; Trustworthiness; Trustworthy artificial intelligence.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence*
  • Diagnostic Imaging
  • Ecosystem*
  • Humans