Artificial Intelligence Applications In Human Pathology

Artificial Intelligence Applications in Human Pathology is a book that explores the latest topics in biomedical research and clinical cancer diagnostics. It provides real examples of the implementation of AI and machine learning in human pathology, highlighting the benefits of these technologies in improving diagnostic accuracy and efficiency. The book also discusses the increased workload faced by pathologists and how AI can help alleviate some of these challenges by supporting data interpretation and decision-making. It covers various topics such as DL in pathology, standardized tissue sampling, and integrating computational pathology into histopathology workflows. The book emphasizes the importance of interdisciplinary work and the intuitive use of AI-supported pathology workflows in delivering novel and complex features that will advance the understanding of individual diseases and patient care.

Format: Hardback
Length: 336 pages
Publication date: 11 April 2022
Publisher: World Scientific Europe Ltd

Artificial Intelligence Applications in Human Pathology delves into the forefront of biomedical research and clinical cancer diagnostics. Authored by esteemed international experts in the field, this comprehensive book offers real-world examples of the implementation of AI and machine learning in human pathology. The advancements in machine learning and AI have revolutionized computational and general pathology research, enabling computer systems to approach the diagnostic capabilities of humans for specific tasks in pathology. However, pathologists face a growing workload, both in terms of the volume of cases and the complexity of the work involved.

In response, AI will play a pivotal role in supporting and leveraging mathematical tools to implement data-driven methods in modern tissue diagnosis and pathology. Digital or computational pathology will also foster the training of future computational pathologists, with backgrounds in both pathology and non-pathology, who will ultimately recognize the indispensable role of AI-based pathology in data-related research within a global healthcare system.

Within the pages of this book, readers will explore a range of specific topics, including an introduction to Deep Learning (DL) as applied to Pathology, Standardized Tissue Sampling for Automated Analysis, integrating Computational Pathology into Histopathology workflows. Additionally, readers will find practical examples of techniques applied to various diseases, such as Tissue Cartography for Colorectal Cancer, Ki-67 Measurements in Breast Cancer, and Light-Sheet Microscopy as applied to Virtual Histology.

By leveraging the power of AI and machine learning, Artificial Intelligence Applications in Human Pathology empowers pathologists and researchers to advance their understanding of diseases, develop more effective treatments, and ultimately improve patient outcomes.

Weight: 626g
Dimension: 160 x 236 x 26 (mm)
ISBN-13: 9781800611382