The global veterinary imaging market size was valued at 2.01 billion in 2018 and increase in utilization for veterinary diagnostics is expected to be driven largely by rising demand for pet insurance and growing animal healthcare expenditure, increasing companion animal population, and growth in the number of veterinary practitioners globally. Currently, while medical imaging use increases, the shortage of veterinary radiologists remains a critical problem globally as less than 5% of practicing veterinarians have formal training in imaging interpretation. In this talk, Michael Fitzke (Next Generation Technologies Sr. Leader, Mars Inc) explains how his team used PyTorch to create AI-tools to support radiologists and veterinarians predicting over 15K radiology images per day and saving 1000 hours of radiologists time per year.

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