International Clinical and Medical Case Reports Journal (ISSN: 2832-5788) | Volume 4, Issue 8 | Research Article | Open Access
Ninan Jacob*
1Professor & Head, Department of Veterinary Physiology, Rajiv Gandhi Institute of Veterinary Education and Research, Puducherry, 605009, India
2Assistant Professor, Department of Veterinary Physiology & Biochemistry, College of Veterinary Science and AH, Kamdhenu University, Junagadh – 362001, Gujarat, India
*Correspondence to: Ninan Jacob
Fulltext PDFArtificial Intelligence (AI) has developed as an interdisciplinary science based on computers and is concerned with building machines and equipment which use human intelligence to perform a particular task. Intelligence involves judgment, reasoning, understanding, acumen, insight, comprehension, sharpness, alertness, acuity and also intuition. It is basically a physiological trait present in varying degrees in different animals. The brain carries out cognitive learning and processing by performing combinations of various sort of information processes. Types of information processes are performed by different anatomical structures and instigated in physiology. The intersection of medicine and machine learning has the potential to transform healthcare. Physiology is a foundational discipline of medical training and practice with an upscale of quantitative history, clinical manifestation, diagnostic technics and treatments. The role of Artificial Intelligence is manifold in our day-to-day lives. The history of AI, its applications as software packages, simulation apps, and a list of various equipment used for analytical, clinical, and livestock farm purposes are detailed here. Veterinary practice management software which are commercially available in developed countries, especially for small animal practice, may not be beneficial in the Veterinary Dispensaries and Farms in India due to different conditions, animals and requirements. The AI has immense contribution in Veterinary and allied sciences and has made the diagnosis, treatment, and prognosis quicker, cheaper, and effective. AI is applicable in Antimicrobial Resistance (AMR) research, cancer research, drug design and vaccine development, epidemiology, disease surveillance, and genomics. Here, the authors have highlighted and discussed the potential impact of various aspects of AI in veterinary health and management, proposing this technology as a key tool for addressing pressing global health challenges across various domains.
Artificial Intelligence; History; Application; Data analytical software; Veterinary
Ninan Jacob, R J Padodara . Artificial Intelligence: Transforming Animal Health and Management. Int Clinc Med Case Rep Jour. 2025;4(8):1-24.