Artificial intelligence (AI) is a rapidly evolving technology with significant potential in veterinary clinical practice and biomedical research. This review explores the various applications of AI in these fields, highlighting its role in enhancing diagnostic accuracy, improving treatment outcomes, and advancing research in areas such as antimicrobial resistance, cancer, and genomics. AI is particularly useful in veterinary medicine for tasks like disease diagnosis, zoonotic disease monitoring, epidemiology, and the development of disease models. It also plays a crucial role in artificial insemination, patient assessment, and surgical procedures, offering more precise and efficient solutions. In biomedical research, AI contributes to antimicrobial resistance research, cancer research, and vaccine development, enabling faster and more accurate identification of drug targets and improving diagnostic methods. The integration of AI into veterinary and biomedical practices is promising, but challenges such as data inconsistency, the need for large and diverse datasets, and ethical considerations must be addressed. Despite these challenges, AI has the potential to revolutionize veterinary and biomedical research by providing innovative tools and methods that enhance the efficiency and effectiveness of healthcare practices. The future of AI in these fields depends on continued research, collaboration, and the development of robust, reliable, and ethically sound AI systems.Artificial intelligence (AI) is a rapidly evolving technology with significant potential in veterinary clinical practice and biomedical research. This review explores the various applications of AI in these fields, highlighting its role in enhancing diagnostic accuracy, improving treatment outcomes, and advancing research in areas such as antimicrobial resistance, cancer, and genomics. AI is particularly useful in veterinary medicine for tasks like disease diagnosis, zoonotic disease monitoring, epidemiology, and the development of disease models. It also plays a crucial role in artificial insemination, patient assessment, and surgical procedures, offering more precise and efficient solutions. In biomedical research, AI contributes to antimicrobial resistance research, cancer research, and vaccine development, enabling faster and more accurate identification of drug targets and improving diagnostic methods. The integration of AI into veterinary and biomedical practices is promising, but challenges such as data inconsistency, the need for large and diverse datasets, and ethical considerations must be addressed. Despite these challenges, AI has the potential to revolutionize veterinary and biomedical research by providing innovative tools and methods that enhance the efficiency and effectiveness of healthcare practices. The future of AI in these fields depends on continued research, collaboration, and the development of robust, reliable, and ethically sound AI systems.