PV26 Speakers

Subject to change.

 

 

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Marilyn Bui, MD, PhD

Senior Member and Professor of Pathology, Moffitt Cancer Center

Marilyn Bui, MD, PhD is a Senior Member & Professor of Pathology at Moffitt Cancer Center in Tampa, FL with expertise in surgical pathology, cytopathology, biomarker testing, DP & AI. She was the past President of DPA and currently chairs the Digital and Computational Pathology Committee of CAP. She has received 3 US patents, multiple research grants, and multiple teaching awards. She has published > 220 articles, 33 book chapters, and 3 books and served on editorial board of multiple journals.

 

 

SESSIONS

Digital Pathology and AI Ecosystem: How to Move Forward Together Submission
   Sun, Oct 18
   3:30 PM - 4:00 PM PT
  Seaport G

Introduction/Background: Adoption of digital pathology (DP) is accelerating as institutions transition to fully or partially digital workflows. DP underpins augmented intelligence (AI) applications that can improve diagnostic accuracy, efficiency, and patient care. However, implementation goes beyond selecting scanners and monitors. DP and AI must operate within a broader ecosystem that includes the electronic health record (EHR), laboratory information systems (LIS), pathology imaging management systems (PIMS), and cloud infrastructure. Navigating this interconnected environment is a key challenge for pathology leaders, and the importance of seamless enterprise and cloud integration is often underestimated.

Methods/Design: This 60-minute moderated panel will feature experts in enterprise informatics, imaging systems, and pathologists experienced in DP and AI implementation. Discussion topics include the current ecosystem landscape, real-world lessons learned, barriers and opportunities for integration, and strategies to strengthen collaboration across the pathology community. Panelists and moderators will meet virtually twice before PV26 to align content and structure. Approximately 20 minutes will be dedicated to audience Q&A to encourage interaction.Expected

Outcomes/Results: The session will establish a foundation for continued dialogue on the DP and AI ecosystem. Key insights will be summarized in a blog post for the Digital Pathology Association (DPA) website to support ongoing knowledge sharing.

Conclusions/Discussion: DP and AI require coordinated integration within a complex healthcare ecosystem. Scanner selection is only one step; success depends on interoperability, workflow integration, and enterprise alignment. Continued collaboration across stakeholders will be essential to fully realize the potential of this evolving field.

Learning Objectives:

  1. Be familiar with the current landscape of the DP and AI ecosystem
  2. Learn experiences, key barriers, and solutions to real-world implementation
  3. Brainstorm strategies for collaborative progress across the pathology community
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