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Artificial Intelligence in Vet Med

The rapid progression of AI has been facilitated by the enormous increase in data capture and availability, computer storage and processing capabilities, and neural network architectures. As governments, businesses, and organizations are struggling to keep up with the pace of developments, it begs the questions: What is on the horizon for veterinary medicine, and what will be the impact of AI?

Notebook: January 2020

Woman reunited with cat missing for 11 years, Texas A&M Veterinary School helps create first-ever cancer screenings for dogs, veterinary behaviorists question “scruffing,” how to stop wasting money at your small business, alumni foundation donates $15 million to expand University of Wisconsin School of Veterinary Medicine, gene identified for canine night blindness, dog ownership is beneficial to health, human and animal cornea treatment, and Scratchpay receives $65 million in funding.

References

References for the 2017 AAHA Canine Vaccination Guidelines .

References

References for the 2010 AAFP/AAHA Feline Life Stage Guidelines

Inside AAHA: March 2021

AAHA Vice President Margot K. Vahrenwald, DVM, CVJ, discusses the importance of nutrition conversations. Also: Temple Grandin joins VMI, 2021 AAHA/AAFP Feline Life Stage Guidelines , and Dear AAHA addresses a question about staff privacy.

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