Advances in Digital Pathology and Artificial Intelligence in Pathology
- 1st Edition - September 1, 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 AI technologies and applications for practicing pathol… Read more
World Book Day celebration
Where learning shapes lives
Up to 25% off trusted resources that support research, study, and discovery.
Description
Description
Key features
Key features
- Presents detailed color figures to illustrate digital pathology technology and workflow, along with representative images of applications of artificial intelligence in pathology
- Includes digital pathology applications in education, research, quality improvement and others
- Offers clinical applications such as surgical pathology (guidelines, hardware/software, validation, training, adoption, remote sign-out, etc.), secondary consultation, MDT, archiving, and QA
Readership
Readership
Table of contents
Table of contents
2. Digital imaging technologies
3. Implementation of a digital pathology workflow
4. Clinical applications of digital pathology
5. Other application of digital pathology
6. Digital cytology
7. Telepathology
8. Artificial intelligence (imaging analysis) fundamentals
9. Artificial intelligence in surgical pathology
10. Artificial intelligence in cytology
11. Emerging advanced imaging technologies in digital pathology
12. Generative artificial intelligence technologies in digital pathology
13. Imagiomics: Profiles, Patterns and Predictions From Pathology Images
14. Large Language Models utilizing digital pathology workflows: Impact on Pathology Practice
15. Conclusions
Product details
Product details
- Edition: 1
- Latest edition
- Published: September 1, 2026
- Language: English
About the editors
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.
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.