This timely work is a comprehensive, approachable, and practical textbook designed to guide veterinary practitioners, students and industry leaders through the rapidly evolving landscape of Artificial Intelligence (AI).
Veterinary professionals are standing at the precipice of a technological transformation. AI is no longer a futuristic concept; it is an active player in clinical workflows, diagnostics, research and communication. And yet, most veterinarians are unprepared to assess or responsibly implement this technology. This book is written to change that. It begins by teaching a fundamental understanding of AI, illustrating what AI can and can’t do. Readers build on the fundamentals to learn about the ethical and operational risks inherent in using AI technology, principles which are then grounded in concrete tools and practical step-by-step guides to manage risk. The text is supported with published research, realistic scenarios, and real-life examples to illustrate how the theory is applied in practice. The goal of this text is to take readers from AI-curious to AI-confident, empowered to ask critical questions, advocate for their needs, and adopt AI technology responsibly and effectively.
This book stands apart from others in the field by focusing not only on what AI can do in veterinary medicine, but on how it should be used. Where most literature either oversimplifies or overwhelms, this text offers practical guidance alongside the theory. It speaks with the voice of working veterinarians who understand the realities of practice, the pressures of clinical decision-making and the risks of introducing tools that are not yet well-regulated or widely understood. Didactically structured and enriched with practical worksheets, a glossary and review questions, this guide is an indispensable companion for both professional practice and learning.
This timely work is a comprehensive, approachable, and practical textbook designed to guide veterinary practitioners, students and industry leaders through the rapidly evolving landscape of Artificial Intelligence (AI).
Veterinary professionals are standing at the precipice of a technological transformation. AI is no longer a futuristic concept; it is an active player in clinical workflows, diagnostics, research and communication. And yet, most veterinarians are unprepared to assess or responsibly implement this technology. This book is written to change that. It begins by teaching a fundamental understanding of AI, illustrating what AI can and can’t do. Readers build on the fundamentals to learn about the ethical and operational risks inherent in using AI technology, principles which are then grounded in concrete tools and practical step-by-step guides to manage risk. The text is supported with published research, realistic scenarios, and real-life examples to illustrate how the theory is applied in practice. The goal of this text is to take readers from AI-curious to AI-confident, empowered to ask critical questions, advocate for their needs, and adopt AI technology responsibly and effectively.
This book stands apart from others in the field by focusing not only on what AI can do in veterinary medicine, but on how it should be used. Where most literature either oversimplifies or overwhelms, this text offers practical guidance alongside the theory. It speaks with the voice of working veterinarians who understand the realities of practice, the pressures of clinical decision-making and the risks of introducing tools that are not yet well-regulated or widely understood. Didactically structured and enriched with practical worksheets, a glossary and review questions, this guide is an indispensable companion for both professional practice and learning.
Petra Kos Harms
AI Machine learning Risk management Responsible AI Data security AI literacy Large language model Data processing Data Analytics AI governance AI risk management