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Artificial Intelligence in Environment and Human Health: Progress, Opportunities and Challenges.

Dongyang Han1, Yanyi Xu1, Luofei Lin2

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Artificial intelligence (AI) offers new ways to study environmental health and planetary health. This review proposes a framework to evaluate AI

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Area of Science:

  • Environmental health sciences
  • Planetary health
  • Artificial intelligence applications

Background:

  • The environment is a critical factor influencing human well-being and planetary health.
  • Artificial intelligence (AI) is increasingly applied in environmental health research, but lacks a unified evaluation framework.
  • Assessing environmental health impacts is crucial for understanding planetary health challenges.

Purpose of the Study:

  • To propose a unified evaluation framework for artificial intelligence in environmental health research.
  • To bridge the gap in current AI evaluation methodologies for environmental health.
  • To synthesize innovations, applications, and trends in AI for environmental health.

Main Methods:

  • Comprehensive literature review of AI applications in environmental health.
  • Synthesis of methodological innovations across the environmental health research continuum.
  • Analysis of AI's role in exposure modeling, health outcome assessment, and causal inference.

Main Results:

  • AI enhances accuracy, scalability, and causal understanding in environmental health studies.
  • The proposed framework integrates AI applications from exposure assessment to health outcomes.
  • Identified emerging trends and innovative AI methodologies in the field.

Conclusions:

  • A unified AI evaluation framework is essential for advancing environmental health and planetary health strategies.
  • AI holds significant synergistic potential for addressing complex environmental health issues.
  • This framework supports informed decision-making for planetary health initiatives.