Researchers from the University of South Florida have used artificial intelligence and citizen science to identify what may be the first specimen of Anopheles stephensi—an invasive and deadly malaria-carrying mosquito—ever detected in Madagascar. The study, led by USF scientists Ryan Carney and Sriram Chellappan, demonstrates how AI-powered image recognition and public participation can transform global disease surveillance.