The National Institute of Fisheries Science in Korea has developed an artificial intelligence (AI) system, named Miribom, to diagnose parasitic diseases in farmed flounder. The system, which was demonstrated at the Jeju Fish Farming Cooperative, uses a deep learning-based model to identify disease symptoms from images. It can accurately diagnose scutica disease and emaciation in flounder. The institute plans to incorporate more diseases into the system and aims for it to be used as a tool to quickly diagnose early stage parasitic diseases.