NIFS announced that on December 5 (Thursday) at the Jeju Fish farming Cooperative, it had public demonstration of 'Mi-li-bom', AI-based clinical diagnostic system which can rapidly detect the major parasitic diseases in farmed olive flounder. 

Olive flounder is one of the most commonly cultured fish species in Korea and the major cause of its death is parasitic diseases accounting for over 50%. 

However, it is hard to detect the infection at the early stage with naked eyes, letting fishermen miss the perfect timing to cure the disease. 

In this situation, NIFS had developed the diagnostic system 'Mi-li-bom' taking two years, which is able to rapidly diagnose whether there is infection by taking photos the suspected fish with a smartphone at the aquaculture site. 

Built on the utilization of deep learning-based model Yolo v8 - that can detect the symptoms of infection from the images taken and classify them -, 'Mi-li-bom' can diagnose Scuticociliatosis and Emaciation disease with the accuracy of 96% and 90% respectively. 

With the participation of aquatic organism disease inspectors, people from the Jeju Marine and Fisheries Research institute, and ones in charge of aquatic disease at the Fish Farming Cooperative, the participants validated the diagnostic capacity of 'Mi-li-bom' and took opinions from each other. 

"Smart Fish Doctor (called SFiD [spi:d] for short)"* users will be able to use 'Mi-li-bom' on the SFiD webpage next year. After one-year pilot service, the AI-based clinical diagnostic system 'Mi-li-bom' will be switched to public service for the people and fishermen. 

*Smart Fish Doctor, SFiD: NIFS's aquatic animal diseases information sharing platform which can be used with PC or mobile access (www.nifs.go.kr/sfid).