AIMI Grand Rounds: Establishing an Interoperable Digital Pathology Architecture - Rebecca Rojansky, MD, PhD

The AIMI Grand Rounds, sponsored by the Center for Artificial Intelligence in Medicine and Imaging (AIMI), is a virtual series held on every fourth Tuesday. The series is a crucial initiative for disseminating the latest AI advancements in medicine, aiming to drive transformative innovations in healthcare. Stanford participants of the live event can claim 1.0 CME credits: AMA PRA Category 1 Credits ™ or Non-Physician Participation Credit.

Speaker: 

Rebecca Rojansky, MD, PhD: Co-Director of Clinical Pathology Informatics, Stanford University 

Bio: Dr. Rebecca Rojansky is Co-Director for Clinical Pathology Informatics at Stanford, where she leads digital and computational pathology initiatives advancing AI-enabled diagnostics and precision healthcare. Her work integrates data architecture, workflow innovation, and cross-institutional collaboration. She completed MDPhD training at UCLA-Caltech, and anatomic and clinical pathology residency, hematopathology fellowship, and molecular genetic pathology fellowship at Stanford.

Abstract: Establishing an interoperable digital pathology architecture requires integrating imaging, informatics, and workflow systems into a cohesive framework that supports both clinical and research applications. This talk will describe Stanford’s implementation of a DICOM-based standard for whole slide imaging and the development of a vendor-agnostic data architecture centered on a vendor neutral archive (VNA). Emphasis will be placed on the design principles that enable cross-platform interoperability, data governance, and scalability across multiple vendor ecosystems. In addition, strategies for supporting task-specific scanners and AI-enabled workflows will be discussed, highlighting how these elements together form the foundation for a sustainable, standards-driven digital pathology ecosystem.