In the age of technological progress, incorporating artificial intelligence (AI) into public health is crucial for transformative advancements. AI’s swift analysis of vast datasets has already led to breakthroughs in disease prediction and personalized interventions. Embracing AI allows us to imagine a future with enhanced early detection, optimized resource allocation, and targeted healthcare strategies. This shift towards data-driven insights holds the promise of significantly improving global public health outcomes.
We invite researchers and experts in the field to contribute to this innovative collection, exploring the intersection of AI and public health and its potential impact on healthcare systems and outcomes. Potential areas of interest include, but are not limited to:
- Data-driven approaches for disease surveillance and monitoring
- Predictive modeling and machine learning in public health outcomes
- Ethical considerations and societal implications of AI in public health
- Integration of AI in public health informatics for enhanced data analysis
- Precision public health and personalized interventions
- AI applications in epidemiology and outbreak response
- Optimization of healthcare access and delivery through AI
By exploring the integration of artificial intelligence in public health, the collection directly contributes to the goal of ensuring healthy lives and promoting well-being for all, and aligns with the UN’ SDG 3, Good Health and Well-being.
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