Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The integration of artificial intelligence (AI) and ICT technologies in veterinary units offers new opportunities for diagnostics, remote monitoring, and practice management. The aim of this article is to conduct a systematic literature review to analyze the applications, challenges, and future prospects of artificial intelligence (AI) and information and communication technologies (ICT) in veterinary industry Ipsum is simply dummy text of the printing and typesetting industry. Need for the study: Despite AI’s growing role in veterinary care, challenges such as algorithmic bias, regulatory concerns, and limited research on long-term impacts persist. Additionally, the adoption of AI in practice management remains underexplored, despite its potential to improve efficiency, automate workflows, and optimize resource allocation. A systematic review of existing literature is necessary to address these gaps. Methodology: This study conducts a systematic literature review of AI applications in veterinary medicine using Scopus, Web of Science, and Google Scholar. The analysis explores key themes, including diagnostics, telemedicine, data management, business efficiency, and regulatory challenges. Findings: AI enhances diagnostic accuracy, workflow automation, and predictive analytics, improving clinical decision-making and patient outcomes. In veterinary practice management, AI-driven automation optimizes scheduling, inventory control, and client communication. However, barriers such as technological resistance and regulatory uncertainty hinder widespread adoption. Emerging trends include interdisciplinary collaboration, blockchain for data security, and AI training in veterinary curricula. Practical Implications: AI adoption can transform veterinary practice management by enhancing efficiency, reducing administrative burdens, and improving profitability. Future research should explore long-term impacts, standardization, and client acceptance to ensure responsible and effective AI implementation in veterinary medicine. By addressing these challenges, AI and digital technologies can significantly advance both veterinary care and practice management, leading to improved patient outcomes and business performance.