Skip to main content
Elsevier

Advancements in Digital Cytopathology and Artificial Intelligence

  • 1st Edition - May 1, 2027
  • Latest edition
  • Editors: Keluo Yao, Liron Pantanowitz, Joshua Levy
  • Language: English

Advancements in Digital Cytopathology and Artificial Intelligence offers an extensive and reliable resource for those intrigued by the opportunities for employing artificial intell… Read more

Description

Advancements in Digital Cytopathology and Artificial Intelligence offers an extensive and reliable resource for those intrigued by the opportunities for employing artificial intelligence in cytopathology, within both clinical and research settings. The book provides advances in research and commercial technologies, regulatory and business environment updates and special considerations in cytopathology that impacts AI applications in the medical field. It describes the current state of cytopathology digitization and AI technologies, the current cytopathology practice environment, including laws and compliance issues in the context of digitization and AI technologies. This an essential reference for cytologists and trainees who are interested in AI and digital pathology and AI researchers and industry partners who are interested in developing applications for cytopathology.

Key features

  • Covers numerous opportunities for artificial intelligence to be utilized in cytopathology across both clinical and research areas
  • Includes in-depth discussions of image analysis systems for gyn cytology and non-gyn cytology
  • Addresses unique cytology-specific challenges, opportunities, and workflow considerations
  • Provides a roadmap for pathologists, cytotechnologists, researchers, trainees, and industry innovators navigating the future of cytopathology

Readership

Cytologists and trainees who are interested in AI and digital pathology and AI researchers and industry partners who are interested in developing applications for cytopathology

Table of contents

1. Introduction

2. Digitization Technologies

3. Artificial intelligence technologies

4. Unique Challenges and Opportunities in Cytopathology

5. Cell block

6. Liquid based preparations

7. Cytospin

8. Manually prepared smears

9. ROSE and telecytology

10. Reporting

11. Implementation consideration

12. Impact of increased use of digital and AI on patient care

Product details

  • Edition: 1
  • Latest edition
  • Published: May 1, 2027
  • Language: English

About the editors

KY

Keluo Yao

Dr. Keluo Yao is the Physician Lead for Pathology Informatics and a cytopathologist at Cedars-Sinai, in Los Angeles, Ca. Dr. Yao is board certified in anatomic pathology, clinical pathology, cytopathology, and clinical informatics. Academic contributions include peer-reviewed articles in the areas of digital pathology and AI and chapters in pathology textbooks. Dr. Yao is currently an assistant editor for the Journal of Pathology Informatics and am a member of the College of American Pathologists' Pathology Electronic Reporting (PERT) Committee.

Affiliations and expertise
Department of Pathology and Laboratory Medicine, Cedars Sinai Enterprise Information Services, Cedars Sinai, USA

LP

Liron Pantanowitz

Dr. Liron Pantanowitz is the recipient of numerous awards, including a Distinguished Service Award from the Association for Pathology Informatics. He is a practicing general and subspecialized surgical and cytopathologist with special interest and expertise in bone and soft tissue pathology. Over his extraordinary 15+ years at Tufts University School of Medicine, the University of Massachusetts, Baystate Medical Center, and the University of Pittsburgh Medical Center, Liron achieved regional, national and international recognition as a leader in our field. His track record of success includes 447 peer-reviewed publications, ~100 book chapters and over 200 invited presentations.

Affiliations and expertise
Professor of Pathology and Director of Cytopathology, University of Pittsburgh Medical School, Pittsburgh, USA

JL

Joshua Levy

Dr. Joshua Levy is the Director of Digital Pathology Research at Cedars-Sinai, where he also serves as Associate Director of the Cedars-Sinai AI Campus. He is an Assistant Professor in the Departments of Pathology and Computational Biomedicine at Cedars-Sinai and holds adjunct appointments in Pathology, Dermatology, and Epidemiology at Dartmouth College Geisel School of Medicine. His research focuses on integrating AI and biostatistics into anatomic pathology, with a special interest in computational methods for histopathology and cytopathology, as well as text and image processing. In addition, Dr. Levy utilizes spatial genomics technologies to study tumor progression and metastasis. He directs the national EDIT AI internship program, fostering over 250 students from diverse backgrounds in exploring AI’s role in medicine. He holds additional appointments at the Biomedical National Elemental Imaging Resource, Veteran Affairs, and is an associate member of NCI’s Translational and Basic Science Research in Early Lesions program.

Affiliations and expertise
Assistant Professor, Departments of Pathology and Computational Biomedicine, Cedars-Sinai, Los Angeles, USA