The Role of AI in Predicting Epidemic Outbreaks
Keywords:
artificial intelligence, epidemic, prediction, machine learning, data analysisAbstract
This study examines the application of artificial intelligence in predicting epidemic outbreaks. By analyzing data patterns from previous outbreaks and using machine learning algorithms, the research assesses AI's ability to forecast potential health crises. The findings suggest that AI can significantly enhance early detection and response strategies, potentially minimizing the impact of future epidemics. Challenges and limitations of current AI methodologies are also discussed.
References
Svetlana, S., Liliya, K., & Vesela, K. (2025). Diffuse B cell large ileal lymphoma presenting with obstruction and associated with Hashimoto’s thyroiditis. Journal of Surgical Case Reports, 2025(4).
Published
2025-10-22
Issue
Section
Articles