Smart Solutions in Veterinary and Animal Sciences: Applications of AI, ML, and Soft Computing

The veterinary and animal science is a professional discipline having broad applied subjects dealing with improvement of health and production in animals. Artificial intelligence (AI), machine learning (ML), and soft computing are being applied to various subjects of this field owing to their capacity to deal with complex data and giving smart solutions for accurate desired outcomes. Impact areas include genomic prediction and breeding strategies in animal genetics, precision feeding, and nutrigenomics in animal nutrition using ML and optimization of health and environmental management in livestock production, via AI-powered tools such as Internet of Things (IoT) and deep learning (DL). New advances in veterinary subjects like anatomy, gynecology, medicine, microbiology, parasitology, and pathology take advantage of AI technologies such as three-dimensional (3D) modeling, virtual reality (VR), and augmented reality (AR) automated diagnostics and predictive analytics to increase research, education, and clinical outcomes. In addition, AI and ML innovations help with advancing drug discovery, personalized medicine, predicting disease, public health, and epidemiology. Veterinary surgery and radiology also make use of these applications to improve diagnostic accuracy and treatment strategies. These technologies integrate with veterinary and animal sciences in order to make transformative improvements in its development while facing ethical, technical, and regulatory challenge for the sustainable and responsible implementation.