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@article{189618,
        author = {Dr.Sameta Ramesh Bhumaiyya},
        title = {Applications of Artificial Intelligence in livestock health and its future research approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {8136-8142},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189618},
        abstract = {Artificial Intelligence (AI) is swiftly changing veterinary science by providing novel, data-oriented solutions. Solutions that improve diagnosis, disease monitoring, reproductive oversight, and research by utilizing machine learning (ML) and deep learning (DL), AI enhances diagnostic precision, accelerates vaccine progress and enhances studies in antimicrobial resistance (AMR) and cancer research. These technologies also support customized healthcare and analytics-based animal management. This demonstrates AI's capability to transform veterinary practice and public health. AI, a branch of computer science, enables machines to mimic cognitive abilities in humans including learning, reasoning, and making decisions. Although the concept originated in Since the 1950s, significant advancements have occurred only in recent decades because of powerful computers and extensive data collections, and enhanced algorithms. Currently, AI is crucial in numerous fields of veterinary and biomedical science, offering greater precision and effectiveness in animal health management. This assessment provides a summary of essential AI methods and their practical applications in veterinary medicine, including diagnostics, epidemiology, reproduction, and studies. It also examines existing constraints, ethical concerns, and future possibilities. Opportunities for AI within the One Health model.},
        keywords = {},
        month = {December},
        }