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반려견 질병 스크리닝 인공지능 시스템 개발한다
AI system for screening pet dogs’ diseases to be developed

JNU-IntoCNS agreement signed for veterinary screening test using EMR and big data

Jeju National University’s Veterinary Teaching Hospital will work with a local communication system supplier to develop an artificial intelligence-based medical system for dogs, the school announced Thursday (April 22).

Late on Monday, the university’s animal hospital signed a memorandum of understanding for cooperation with IntoCNS, the nation’s top electronic medical record (EMR) supplier used for pets.

The Gyeonggi Province-based company’s EMR software named “IntoVetGE” has the largest market share in Korea and is also exported to China, Japan, and Vietnam. Reportedly, the Korean product is the one that is most commonly used by veterinary clinics across Asia.

IntoCNS run its business in the animal-related information and technology industry, developing and operating animal and wildlife management systems for diverse purposes.

Under the latest agreement, the JNU Veterinary Teaching Hospital and IntoCNS will apply artificial intelligence to the blood and urinary screening of animal diseases. The two parties will make efforts to complete the system development by December this year.

The animal hospital and the pet-customized EMR operator will also conduct joint research to identify pet dogs’ different medical symptoms and hereditary diseases by breed and age and estimate the normal range of their blood and urinary screening results. The data obtained through the research efforts will be saved on a recurrent neural network as a variant to improve the accuracy of the AI screening system.

Specifically, IntoCNS will undertake the pre-processing of the data on the breed, weight, and age of the pets visiting the JNU animal hospital, as well as the animals’ blood and urinary screening results. Using the refined data, the company will finally develop an algorithm of screening animal diseases, while the university hospital will be in charge of the data training, data labelling, and verification of the AI system’s accuracy.

The agreement is the world’s first attempt to conduct a screening for animal diseases using EMR data provided by veterinary clinics. The hospital and the company plan to develop another AI-based screening system using data obtained with the imaging equipment.

A JNU animal hospital official explained that if the screening system is used in other clinics, veterinarians will be able to make a more accurate diagnosis by comprehensively considering the results from the system, medical examination by interview, and physical and chemical tests.

The university official also said the system will help shorten the time required for diagnosis and treatment in small clinics and enhance work efficiency of the vets. It will enable the classification of 128 hereditary diseases of dogs as well as the adjustment of the normal ranges of blood and urinary states by age or disease, eventually contributing to elevating the nation’s clinical veterinary science to an advanced level, he added.