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This scoping review examines the effectiveness of AI in epidemic and pandemic early warning systems (EWS). Objective: To assess the capability of AI-based systems in predicting epidemics and pandemics and to identify challenges and strategies for improvement. Methods: A systematic scoping review was conducted. The review included studies from the last 5\u00a0years, focusing on AI and machine learning applications in EWS. After screening 1087 articles, 33 were selected for thematic analysis. Results: The review found that AI-based EWS have been effectively implemented in various contexts, using a range of algorithms. Key challenges identified include data quality, model explainability, bias, data volume, velocity, variety, availability, and granularity. Strategies for mitigating AI bias and improving system adaptability were also discussed. Conclusion: 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.<\/jats:p>","DOI":"10.1177\/14604582241275844","type":"journal-article","created":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T14:58:23Z","timestamp":1724338703000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":42,"title":["AI-based epidemic and pandemic early warning systems: A systematic scoping review"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6287-3438","authenticated-orcid":false,"given":"Christo","family":"El Morr","sequence":"first","affiliation":[{"name":"School of Health Policy and Management, York University, Toronto, ON, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0068-7465","authenticated-orcid":false,"given":"Deniz","family":"Ozdemir","sequence":"additional","affiliation":[{"name":"Department of Psychology, York 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