Author(s) :

Mazhar Fareed, Muhammad Safi Ullah, Azhar Fareed, Fazal Fareed, Muhammad Rizwan, Muhammad Shoaib Maqbool.

Volume/Issue :

Abstract :

There are a lot of changes artificial intelligence is bringing to the practice of veterinary medicine, it opens up an opportunity to diagnose, treat, and take care of animals more efficiently. With the help of such tools as machine learning, deep learning, computer vision, and natural language processing, AI might assist veterinarians in detecting illness at an earlier stage, correctly interpret the imagery, and monitor the health of animals 24/7. These technologies are coming in handy in all aspects of pet care including pet care, livestock management and wild animal conservation. On the one hand, the advantages are obvious: they increase efficiency, make the better use of resources, and positively impact the welfare of the animals. On the other hand, the obstacles still exist, which include the lack of data, insufficiency of infrastructure, and animal welfare issues. To overcome these issues, it will be necessary to further train the veterinary professionals, collaborate more closely with the developers of cognitive computing, and have more sturdy datasets. Going forward, the work of AI will be focused on a strong support role and not a replacement of the veterinarian; the AI will assist in providing more accurate, timely, and humane care.

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