الملخص

The Artificial Intelligence integration into veterinary medication has emerged as a transformative method for boosting diagnostic accuracy, enhancing ailment surveillance, and assisting evidence-based selection-making. This overview investigates present day programs, methodologies, and demanding situations of artificial intelligence pushed clever diagnosis in veterinary practice, with unique awareness on infectious disease detection and epidemiological tracking. By synthesizing latest advancements in machine studying, laptop vision, and records analytics, the paper highlights how AI fashions make contributions to early sickness identification, sample recognition, and predictive analytics for outbreak manage. The evaluate also examines the shortcomings of contemporary structures, which includes troubles with statistics pleasant, model generalizability, and moral troubles in animal health studies. According to the research, AI-enabled diagnostic technologies have a great deal of promise to strengthen veterinary public health systems, enhance animal welfare, and shorten diagnostic wait times. In order to develop artificial intelligence applications in veterinary medicine and open the door to more robust and data-driven methods of managing infectious diseases, this paper ultimately emphasizes the necessity of interdisciplinary cooperation and standardized frameworks.