Veterinary Medicine

Veterinary medicine is increasingly leveraging artificial intelligence and machine learning to improve diagnostic accuracy and efficiency. Current research focuses on developing and validating algorithms for tasks such as classifying veterinary visits, augmenting diagnostic test interpretation, and performing image segmentation (e.g., using deep convolutional neural networks and variational autoencoders) to improve the speed and accuracy of diagnoses. These advancements aim to enhance animal healthcare by improving the detection of diseases, optimizing resource allocation, and providing more timely and accurate diagnoses, ultimately benefiting both animals and veterinary professionals.