Advancing Public Health Surveillance With Artificial Intelligence: A Systematic Review of Real-Time Data Analytics and Disease Prediction

Key Points

• Real-time data analytics improves disease prediction accuracy in public health surveillance systems.
• The review indicates that AI applications can enhance the responsiveness of health interventions.
• Systematic assessment of existing AI tools highlights their potential in processing large datasets effectively.
• Integration of AI in public health may enable rapid response to emerging health threats, requiring further exploration.