Abstract
Artificial intelligence is becoming increasingly important in veterinary medicine and is likely to play a significant role in how the profession develops in the future. It is already impacting the way veterinarians practice, with several technologies readily available. Its application to the interpretation of diagnostic images, clinicopathological data and histopathology has been demonstrated. It is hoped that these technologies will increase the speed and accuracy of a diagnosis. This article reviews some studies investigating the application of artificial intelligence to the diagnosis of disease in animals and considers future uses and limitations of the technology.
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