AI for Infectious Disease Surveillance: From Digital Epidemiology to Outbreak Prediction

This NEJM review examines advances in AI-powered infectious disease surveillance, covering digital epidemiology tools, real-time outbreak detection algorithms, and predictive models that integrate diverse data streams. The authors discuss how machine learning approaches are transforming the speed and accuracy of pathogen monitoring and public health response, with lessons drawn from the COVID-19 pandemic era.