vix.ing · top · new · best · stats · spec

Artificial Intelligence and Workforce Diversity in Nuclear Medicine

2024/11/19 by K Elizabeth Hawk, K. Elizabeth Hawk, Geoffrey Currie +1 · 1 citation
Health Professions · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Diversity and Career in Medicine #Healthcare cost, quality, practices

paper · doi:10.1053/j.semnuclmed.2024.10.005

openalex publication_date 2024/11/19 · crossref created 2024/11/19 · crossref deposited 2025/04/15 · crossref issued 2025/05/01 · crossref published 2025/05/01 · crossref published-print 2025/05/01 · openalex created_date 2025/10/10 · crossref indexed 2026/07/28 · openalex updated_date 2026/07/28

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.

Citations

Cited by