Artificial intelligence (AI) is rapidly developing as an important aspect of diagnostic imaging workflows in both human and veterinary medicine . AI can reshape aspects of care, but it is challenged by ongoing infrastructure limitations, appropriate development of use cases, and critical review of AI tools for veterinary imaging. AI can aid many aspects of the diagnostic imaging workflow including image acquisition, workflow optimization, computer-aided diagnosis, radiomic analysis, and other predictive modeling. This article describes the current state of AI in veterinary diagnostic imaging and establishes limitations and opportunities for developing this important and novel technology.