Artificial Intelligence in Pathology

Artificial Intelligence in Pathology: Principles and Applications provides a strong foundation of core artificial intelligence principles and their applications in the field of digital pathology. This is a reference of current and emerging use of AI in digital pathology as well as the emerging utility of quantum artificial intelligence and neuromorphic computing in digital pathology. It is a must-have educational resource for lay public, researchers, academicians, practitioners, policymakers, key administrators, and vendors to stay current with the shifting landscapes within the emerging field of digital pathology. It is also of use to workers in other diagnostic imaging areas such as radiology.

This resource covers various aspects of the use of AI in pathology, including but not limited to the basic principles, advanced applications, challenges in the development, deployment, adoption, and scalability of AI-based models in pathology, the innumerous benefits of applying and integrating AI in the practice of pathology, ethical considerations for the safe adoption and deployment of AI in pathology.

"...explores the integration of artificial intelligence (AI) technologies in pathology. It covers foundational concepts in AI, machine learning, and deep learning, with a strong focus on practical applications like image analysis, diagnostic algorithms, and workflow optimization.... The book aims to provide a comprehensive and practical guide to understanding and applying AI in pathology. It provides the knowledge and tools needed to integrate AI into diagnostic workflows, improve patient care, and stay current with technological advances.... Rich color illustrations and detailed image examples support visual learning and reinforce diagnostic principles. Additionally, online resources supplement the book, including instructional videos, interactive tools, and extra chapters, all of which enhance engagement and deepen understanding. These features make the content highly adaptable for both individual study and classroom instruction. This second edition is a well-organized, high-quality resource that effectively balances theory with clinical relevance.... Overall, it is a highly recommended text for professionals and trainees adopting AI in pathology." Review by Meredith Herman, DO (University of Michigan Medical School), ©Doody's Review Service, 2025.