Vol. 10, Special Issue 7 (2025)

Author(s): Asif Hilal Khan and Jan Mohd Muneeb

Abstract: Artificial Intelligence (AI) is rapidly transforming veterinary science by offering innovative, data-driven solutions that enhance diagnosis, disease tracking, reproductive management, and research. By using machine learning (ML) and deep learning (DL), AI improves diagnostic accuracy, speeds up vaccine development, and advances research in antimicrobial resistance (AMR) and oncology. These technologies also aid personalized medicine and data-driven animal care. This shows AI's ability to change veterinary practice and public health. AI, a part of computer science, allows machines to imitate human thinking skills such as learning, reasoning, and decision-making. Even though the idea started in the 1950s, real progress has only been made in the past few decades due to powerful computers, large datasets, and improved algorithms. Nowadays, AI plays a vital role in many areas of veterinary and biomedical science, promising more accuracy and efficiency in animal health care. This review offers an overview of key AI techniques and their real-world uses in veterinary medicine, such as diagnostics, epidemiology, reproduction, and research. It also looks at current limitations, ethical issues, and future possibilities for AI within the One Health framework.