Artificial Intelligence and Workforce Diversity in Nuclear Medicine.

Area of Science:

• Nuclear Medicine
• Artificial Intelligence
• Medical Imaging

Background:

• Artificial intelligence (AI) is transforming nuclear medicine practice, education, and research.
• The integration of AI significantly impacts workforce diversity within the field.
• AI tools present both opportunities and challenges for diversity and inclusivity.

Purpose of the Study:

• To explore the dual impact of AI on diversity in the nuclear medicine workforce.
• To examine how specific AI tools can promote or impede inclusivity.
• To analyze the potential of AI to affect underrepresented minorities and women in nuclear medicine.

Main Methods:

• Review of current AI applications in nuclear medicine.
• Analysis of AI's influence on workforce demographics.
• Case studies on AI tools affecting diversity.

Main Results:

• Some AI tools can actively support diversity, promoting inclusivity for women and underrepresented minorities.
• Other AI technologies risk exacerbating existing diversity gaps.
• The net effect of AI on workforce diversity is tool-dependent.

Conclusions:

• AI's role in nuclear medicine necessitates a balanced approach to harness its benefits while mitigating risks to diversity.
• Strategic implementation of AI is crucial for fostering an inclusive nuclear medicine workforce.
• Further research is needed to develop AI solutions that actively enhance diversity and equity.