Applications of AI in Veterinary Medicine

Background and aims: Nowadays, AI development has shown its capabilities to many fieldsand this useful technology has solved a lot of problems. Accepting AI is inevitable in any field,veterinary medicine, like any other part of the world, has unmet potentials for AI. In this reviewarticle those potentials have been investigated.Method: This research is a review type of study in which authentic articles published in reliabledatabases such as Google Scholar and PubMed as well as library search were used. Statements“AI in Veterinary Medicine”, “ML in DVM” and “DL in DVM” were used for searching in foregoingdatabases.Results: Since Veterinary Medicine has many fields, AI can provide its different services in differentfields of it such as “Disease prediction”, “Managing livestock health”, “Image analysis”,“Pathology” and “Aquaculture”.Conclusion: There are several applications of AI services in different fields of veterinary medicine:Disease prediction: Large scales of information about diseases can be analyzed by ML algorithms,so prognosis can be faster and more accurate.Managing livestock health: AI can provide automated monitoring of livestock health and earlydetection of diseases.Image analysis: By training CNN (Convolutional Neural Network), objects can be classified innew, unseen images like pathology slide, image of a blood smear and ultrasound images.Pathology: AI-based automated feature detection systems that can automatically analyze bloodsmear or pathology-stained slides offers tremendous potential efficiencies and quality improvementsin veterinary medicine.Aquaculture: Same as managing livestock health, Internet of things and AI can be used for automatedmonitoring and early detection of diseases.

کلیدواژه ها:

AI in veterinary medicine ، ML ، DL