Introduction: Malaria is one of the most prevalent infectious diseases globally, especially in developing countries. In recent years, artificial intelligence (AI) has proven to be a promising tool in the research and management of diseases such as malaria. However, the scientific production on the intersection between malaria and AI requires a bibliometric analysis to understand its trends and development patterns. Objective: To describe the scientific production on Malaria and Artificial Intelligence studies in Scopus and Web of Science databases, from January 2000 to June 2024. Methods: A bibliometric study was conducted, using a cross-sectional and retrospective approach. Population: The population included all articles published in the Scopus and Web of Science databases within the specified period, resulting in a final sample of 525 articles after filtering for duplicates. Results: ...