Role of artificial intelligence in veterinary anatomical diagnostics and zoonotic disease monitoring

The use of artificial intelligence (AI) also playing a significant role in veterinary medicine due to the changing pattern of diseases in terms of climatic changes and advances in treatment protocols. About 60 % of emerging human diseases are zoonotic mainly originating from animals, so the conventional diagnostic tools and traceability protocols are not fast enough, precise and lack of ability to handle large number of cases. Use of AI tools can make a big difference in diagnosis of diseases/problems through diagnostic images, predicting outbreaks through the data from previous records ultimately leading to improved monitoring of zoonotic diseases in terms of early warning systems for future outbreaks, multisectoral collaborations to improve the health of humans, animals and environments. In diagnosis, AI shows great effectiveness, like being able to spot more than 90 % of bone and joint issues in X-rays, predicting sickness in farm animals up to two to three days before they show symptoms, and even predicting animal diseases those can transmitted to humans up to weeks in advance by looking at data about the environment changes and animals' movements. But adoption to these AI systems is still not common because of many reasons including scattered data, lack of understanding about algorithms, ethical issues, and unequal access to technology etc. CONCLUSIONS: As climate change speeds up the spread of diseases from animals to humans, AI is becoming a crucial tool for reaching health goals that affect both people and animals. But this will happen only if AI is used fairly and responsibly. This summary shows that working together across different fields is important to combine new technology with expert knowledge from vets. The goal is to use AI to support, not take over, what doctors do, and to make advanced care available to everyone around the world.