The Evolving Landscape of Artificial Intelligence Applications in Animal Health

Background: This work explores the expansivetab realm of Artificial Intelligence (AI) applications in the dynamic landscape of animal health and veterinary sciences. Addressing challenges in conventional approaches, we delve into how AI is transforming diagnosis, treatment and healthcare practices for diverse animal species. Methods: Through a rigorous literature review and methodology, the study navigates the current state of AI in animal health, identifying gaps and emphasizing the need for further research. Looking ahead, the paper outlines future directions and opportunities, contributing to the discourse on technology’s intersection with animal care. By providing a comprehensive overview, this research paves the way for innovative solutions, promising a brighter and healthier future for our animal companions. Result: In the domain of animal health, AI emerges as a powerful tool for early disease detection and intervention, offering personalized treatment plans and proactive disease management through continuous monitoring and surveillance. In veterinary sciences, AI accelerates drug discovery, enhances genetic research and reshapes surgical procedures with robotic assistance. However, ethical considerations and challenges, including data privacy and AI-driven decision-making and critical examination should be addressed to.