EDUCATING FUTURE DOCTORS: ENVIRONMENTAL HEALTH AND SUSTAINABILITY THROUGH ARTIFICIAL INTELLIGENCE

Abstract

Introduction:
Environmental health protection is critical for sustainability, and medical education provides a platform to integrate these principles. Artificial Intelligence (AI) offers transformative solutions for addressing environmental challenges while promoting sustainability in medical training. This study explores practical applications of AI to advance environmental health education and sustainability practices.

Methods:
A narrative review analysed AI tools and their applications in environmental health and medical education. Areas of focus included predictive analytics, biodiversity monitoring, climate modeling, and waste management. Strategies such as AI-driven simulations, curriculum updates, and community engagement were evaluated for educational impact.

Results:
AI tools like air quality prediction systems, biodiversity mapping platforms, and climate change models demonstrated potential for enhancing medical education. Simulations improved critical thinking and decision-making skills, while data-driven curriculum updates ensured the inclusion of emerging environmental topics. AI-supported tools for sustainable healthcare practices, such as hospital energy optimization and waste management, prepared students for eco-friendly approaches. Ethical considerations, including data privacy and equity, were highlighted for responsible AI use.

Conclusion:
AI offers significant opportunities to address environmental health challenges in medical education. By integrating AI tools into curricula, institutions can enhance sustainability, prepare future healthcare professionals to tackle environmental issues, and promote ethical practices. This integration fosters a generation of medical professionals committed to environmental stewardship and sustainable healthcare.