Artificial Intelligence and Workforce Diversity in Nuclear Medicine.

Journal: Seminars in nuclear medicine
PMID:

Abstract

Artificial intelligence (AI) has rapidly reshaped the global practice of nuclear medicine. Through this shift, the integration of AI into nuclear medicine education, clinical practice, and research has a significant impact on workforce diversity. While AI in nuclear medicine has the potential to be a powerful tool to improve clinical, research and educational practice, and to enhance patient care, careful examination of the impact of each AI tool needs to be undertaken with respect to the impact on, among other factors, diversity in the nuclear medicine workforce. Some AI tools can be used to specifically drive inclusivity and diversity of the workforce by supporting women and underrepresented minorities. Other tools, however, have the potential to negatively impact minority groups, leading to a widening of the diversity gap. This manuscript explores how various AI solutions have the potential to both negatively and positively affect diversity in the nuclear medicine workforce.

Authors

  • K Elizabeth Hawk
    Stanford University, Stanford, California, USA.
  • Geoffrey M Currie
    School of Dentistry and Health Sciences, Charles Sturt University, Wagga Wagga, Australia gcurrie@csu.edu.au.