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Artificial Intelligence in Public Health: Applications and Impacts

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AI enhances diagnostic efficiency and supports epidemic predictions, transforming public health practices.
Key challenges include data quality issues and implementation difficulties affecting AI adoption in healthcare.
Assessment using Practical Clinical Trials and multidimensional evaluation matrices addresses AI integration challenges.
These innovations highlight the need for a global framework on algorithmic accountability, ensuring equitable technology access.

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AI improves epidemic prediction and health resource management in public health, indicating future potential.

Xiaowen Xu (2025) studied this question.

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