Digital Cytology and AI: All things considered
An evidence-based and engaging presentation on timely, practical, and thought-provoking topics in digital cytopathology and AI. This activity is the result of collaboration between the American Society of Cytopathology and the Digital Pathology Association. Learners at any level will benefit from this educational opportunity.
PRESENTATIONS
Zooming In: The Digital Cytology Revolution by Michael Quick
In this presentation, we explore the advancement of cytology into the digital world. This talk addresses the current state, challenges, and the vast opportunities for enhancing diagnostic accuracy through digital workflows. We'll discuss the regulatory frameworks shaping this field, highlight the pivotal role of AI, and discuss the role that the DPA plays in supporting this transition.
The current state of digital cytology and AI in cytology from a global survey by Dr. Zaibo Li
We will review the current landscape of digital cytology and AI in cytology based on a global survey conducted by ASC in conjunction with the IAC and PSC. Additionally, we will discuss current challenges and areas of improvement for routine digital cytology practice and prospects for future improvement.
Evolving landscape of whole slide imaging in Cytopathology by Dr. Savitri Krishnamurthy
Whole slide imaging and relevant artificial intelligence applications have had limited impact in cytopathology so far. Incorporation of WSI in cytopathology can bring significant advantages for rapid assessment as well as final reporting. The availability of WSI may pave the way for AI applications relevant to the field of cytopathology.
Literature review of AI in cytology and the perspective of a machine learning scientist by Dr. Ghulam Rasool
In this session, we will review the recent literature on AI in cytology to gain insights into the current state and emerging trends. Additionally, we will demystify AI, emphasize its assistant role, and foster collaboration between machine learning scientists and medical professionals practicing cytology.
SPEAKER INFORMATION
Marilyn M. Bui, MD, PhD (Organizer/Moderator)
DPA Past President
Senior Member and Professor of Pathology & Machine Learning Departments
Scientific Director of Analytic Microscopy Core
Moffitt Cancer Center & Research Institute
Dr. Marilyn Bui is a patient-centered pathologist dedicated to enhancing patient care through a blend of pathology practice, research, education, advocacy, and service. Her expertise spans bone and soft tissue pathology, cytopathology, biomarker testing, digital pathology, and AI. She has authored over 224 peer-reviewed articles, 30 book chapters, and three books. She is an inventor with three patents in digital pathology and cancer diagnostics. Her leadership roles in digital pathology and imaging informatics include that she served as Chair of the expert panel for the HER2 quantitative image analysis of breast cancer guidelines for CAP (2016-2019), is the current Chair of the Digital and Computational Pathology committee of CAP, and sits on the boards of the Digital Pathology Association and the Society of Imaging Informatics in Medicine.
Michael Quick, CT(ASCP)
President, Digital Pathology Association
Vice President, R&D, Cytology & Oncology
Hologic
Michael Quick is the President of the Digital Pathology Association and has previously co-chaired the Membership Committee. He holds the position of Vice President of Research & Development and Innovation for Cytology and Oncology at Hologic. An alumnus of the University of Vermont, he is a board-certified cytologist with a career spanning three decades in the field.
Zaibo Li, MD, PhD, MBA
Professor of Pathology
Director of Cytopathology and Cytopathology Fellowship Program
Associate Director of Digital and Computational Pathology
The Ohio State University
Dr. Zaibo Li 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 practice and academic interests are breast/gynecological pathology, cytopathology, and digital pathology. 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. He has presented lectures on many national/international pathology conferences and teaching courses.
Savitri Krishnamurthy, MD
Professor of Pathology
Division of Pathology and Lab Medicine
MD Anderson Cancer Center, Houston, TX
Dr. Krishnamurthy is Professor of Pathology at The University of Texas MD Anderson Cancer Center in Houston, TX. She completed her Pathology residency training in New England Medical Center, Tuft’s University in Boston followed by fellowship training in Oncologic Pathology at Memorial Sloan Kettering Cancer Center in New York and Cytopathology at the University of Texas MD Anderson Cancer Center. She joined MD Anderson Cancer Center as a Staff Pathologist rising through the ranks from Assistant Professor in 1999 to a tenured full Professor in 2009. She is Vice-Chair of the Institutional review Board, Pathology core leader of the Morgan Welch Inflammatory Breast cancer research and clinic. Her areas of expertise include Breast Pathology and Cytopathology.
Ghulam Rasool, PhD
Assistant Member
Department of Machine Learning
Moffitt Cancer Center
Ghulam Rasool is an assistant member of the Department of Machine Learning with a secondary clinical appointment in the Department of Neuro-Oncology at the H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL. He holds an Assistant Professor position in the Department of Oncological Sciences and a courtesy faculty appointment in the Department of Electrical Engineering at the University of South Florida. His current research focuses on building trustworthy multimodal machine learning and artificial intelligence models for cancer diagnosis, treatment planning, risk assessment, and (LLM)-based clinical and cancer informatics pipelines. His research efforts are funded by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the Moffitt Cancer Center. He received the 2023 Junior Researcher Award in the Quantitative Sciences at Moffitt Cancer Center.
