AI-based epidemic and pandemic early warning systems: A systematic scoping review

El Morr, C.; D. Ozdemir, Y. Asdaah; et al. Sage Publications (2024) CC2
Health Informatics Journal 1–38. AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and improvement, as well as incorporating social and environmental data, are essential for future development.