Artificial Intelligence: Pioneering New Strategies in the Battle Against Emerging Infectious Diseases

Background: The emergence of infectious diseases presents significant challenges to global health systems, necessitating innovative solutions for detection, management, and prevention. Traditional methods often fall short in the rapid spread and complexity of these diseases. Materials and Methods: This study focuses on the application of Artificial Intelligence (AI) technologies in the context of emerging infectious diseases. A review was conducted using databases such as PubMed and Web of Science to gather relevant studies on AI applications in predicting, diagnosing, and treating emerging infectious diseases. Advanced analytical techniques were employed to evaluate the effectiveness of various AI methodologies. Results: The findings indicate that AI technologies, particularly machine learning and deep learning algorithms, significantly enhance the accuracy of disease prediction and facilitate early detection. AI-driven models demonstrated a ۳۰% improvement in identifying viral outbreaks compared to conventional approaches. Conclusions: Integrating AI into public health frameworks represents a promising frontier in combating emerging diseases. By leveraging advanced computational techniques, healthcare systems can improve response times and optimize resource allocation, leading to better health outcomes. Continued research and collaboration between AI experts and healthcare professionals are essential to fully realize AI's potential in addressing emerging infectious threats.

کلیدواژه ها:

Artificial Intelligence ، Emerging Diseases ، Machine Learning ، Public Health