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Advances in Digital Pathology and Artificial Intelligence in Pathology

  • 1st Edition - August 31, 2026
  • Latest edition
  • Editors: Anil V. Parwani, Zaibo Li
  • Language: English

Advances in Digital Pathology and Artificial Intelligence in Pathology is a comprehensive resource in digital pathology and artificial intelligence (AI) technologies and applic… Read more

Description

Advances in Digital Pathology and Artificial Intelligence in Pathology is a comprehensive resource in digital pathology and artificial intelligence (AI) technologies and applications for practicing pathologists, pathology trainees, and computational pathology scientists. This is a must-have guide to understand and potentially implement these latest technologies during routine practice and research activities. As pathology has been transformed in recent years by the large-scale integration of digital technology, the use of AI in pathology has seen significant technologic and practical advancements. This book lays the foundation for understanding and applying these technologies, making the book essential in both practice and research.

Key features

Key Features
  • Presents detailed color figures to illustrate digital pathology technology and workflow, as well as representative images of applications of AI in pathology
  • Offers clinical applications of digital pathology and AI, such as primary diagnosis (guidelines, hardware/software, validation, training, adoption, remote sign-out, etc.), secondary consultation, MDT, archiving, and QA
  • Includes digital pathology and AI applications in education, research, quality improvement, and others

Readership

Practicing pathologists, pathology residents, pathology fellows, informatics fellows, pathology imaging specialists, computational pathology scientists

Table of contents

1. Introduction
Zaibo Li, Anil V. Parwani

2. Digital imaging technologies
Eric Glassy, John Groth

3. Implementation of a digital pathology workflow
Zaibo Li, Anil V. Parwani

4. Clinical applications of digital pathology
Giovanni Mario Lujan, Anil V. Parwani, Zaibo Li

5. Other applications of digital pathology
Ghulam Rasool, Rajendra Singh, Marilyn Bui

6. Digital cytology
Swati Satturwar, Liron Pantanowitz, Zaibo Li

7. Telepathology
Mauro Saieg, Rafael Parra-Medina

8. Artificial intelligence (imaging analysis) fundamentals
Abdul Rehman Akbar, Muhammad Khalid Khan Niazi

9. Applications of artificial intelligence in surgical pathology
Zaibo Li, Yueping Liu, William MacDonald, Shaoli Sun, Wei Chen, Ankush U. Patel, Anil V. Parwani, Swati Satturwar

10. Artificial intelligence in cytology
David Kim, Swati Satturwar, Liron Pantanowitz, Zaibo Li

11. Emerging advanced imaging technologies in digital pathology
Jeffrey L. Fine

12. Generative artificial intelligence technologies in pathology
Ehsan Ullah

13. Pixelomics: The pixelome as a foundation of precision pathology
Ehsan Ullah, Jingjing Hu, Hooman Rashidi, Liron Pantanowitz, Zaibo Li, Anil V. Parwani

14. Large language models utilizing digital pathology workflows: Impact on pathology practice
Zhi Huang, Jialu Yao, Tiancheng Bao

15. Usability of artificial intelligence tools in pathology practice
Andrey Bychkov, Yosep Chong

16. Regulations and ethical considerations in digital pathology and artificial intelligence
Rama R. Gullapalli, Anil V. Parwani

17. Conclusions
Zaibo Li, Anil V. Parwani

Product details

  • Edition: 1
  • Latest edition
  • Published: August 31, 2026
  • Language: English

About the editors

AP

Anil V. Parwani

Dr. Anil V. Parwani is Chair and Professor of Pathology at The Ohio State University. Dr. Parwani is also the Director of Pathology Informatics and Director of the Digital Pathology Shared Resource at The James Cancer Hospital. Dr. Parwani has expertise in Anatomic Pathology Informatics including, applications of whole slide imaging, digital imaging, telepathology, image analysis and lab automation. Dr. Parwani has authored over 250 peer-reviewed articles in major scientific journals and several books and book chapters. Dr. Parwani is the Editor-in-chief of Diagnostic Pathology and one of the Editors of the Journal of Pathology Informatics.

Affiliations and expertise
Chair and Professor of Pathology, The Ohio State University, USA

ZL

Zaibo Li

Zaibo Li, MD, Ph.D, MBA is a Professor of Pathology, Director of Cytopathology and Cytopathology Fellowship Program, Associate Director of Digital and Computational Pathology at The Ohio State University. He holds an Endowed Professorship (University Pathology Services Anatomic Pathology Professorship). His academic interest and expertise include digital pathology, AI in pathology, breast/gynecological pathology, and cytopathology. He has published more than 170 scientific articles and many book chapters. He is currently served as section or associate editor/editorial board for several Pathology Journals and served in multiple national society committees.

Affiliations and expertise
Director of Cytopathology and Cytopathology Fellowship Program; Associate Director of Digital and Computational Pathology, Ohio State University, Columbus, USA

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