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Area of Science:

  • Public Health
  • Artificial Intelligence
  • Health Informatics

Background:

  • Public health practice is evolving to address challenges revealed by the COVID-19 pandemic.
  • There is a growing need to manage investments for 21st-century health requirements.
  • Advancements in artificial intelligence (AI) present significant opportunities for public health transformation.

Purpose of the Study:

  • To explore the current applications of AI in public health.
  • To describe the capabilities of generative AI models for creating synthetic content.
  • To examine AI's potential to support core public health functions within U.S. health departments.

Main Methods:

  • Commentary and review of AI applications in public health.
  • Analysis of generative AI capabilities (images, video, audio, text).
  • Examination of AI's role in improving communication, organizational performance, and decision-making.

Main Results:

  • AI offers near-term opportunities to enhance public health communication strategies.
  • AI can optimize organizational performance within health departments.
  • AI enables the generation of novel insights for data-driven public health decision-making.
  • Generative AI models can produce diverse synthetic digital content.

Conclusions:

  • AI presents a transformative potential for public health practice.
  • Health departments can leverage AI to address current deficiencies and meet future health needs.
  • Careful consideration of challenges and risks is essential for successful AI implementation in public health.