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Artificial intelligence: A key fulcrum for addressing complex environmental health issues.

Lei Huang1, Qiannan Duan2, Yuxin Liu3

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Artificial intelligence (AI) offers powerful solutions for complex environmental health (EH) challenges. This review explores AI

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Area of Science:

  • Environmental Health Sciences
  • Computational Biology
  • Public Health

Background:

  • Environmental health (EH) research traditionally struggles with complex issues due to limitations in addressing multifactorial risk correlations.
  • Artificial intelligence (AI) presents a transformative approach to scientific research, offering novel tools for tackling intricate EH problems.

Purpose of the Study:

  • To review the application, potential, and challenges of AI in environmental health research, focusing on compound exposures.
  • To explore AI's role across four key phases of EH research: data management, hazard identification, risk assessment, and management.

Main Methods:

  • Literature review focusing on artificial intelligence applications in environmental health.
  • Analysis of AI's capabilities and limitations in data collection, fusion, hazard screening, risk modeling, and management.
  • Exploration of AI's potential in addressing complex exposure scenarios in environmental health.

Main Results:

  • AI accelerates innovation and provides tools for solving complex EH problems, overcoming limitations of traditional methods.
  • Significant barriers to AI implementation in EH include model generalizability, data privacy, algorithm transparency, and ethical considerations.
  • AI facilitates multidimensional simulation of complex exposure factors through multi-mode data fusion for accurate risk identification.

Conclusions:

  • AI is poised to become an essential tool for accurate environmental health risk identification and efficient global environmental health management.
  • Future directions involve leveraging AI for multidimensional simulation and multi-mode data fusion to address complex exposure factors.
  • This review provides a strategic reference for researchers utilizing AI to solve complex environmental health exposure problems.