Digital pathology is moving beyond image viewing toward integrated, AI-ready workflows that can support a wide range of clinical, operational, and research needs. In this Techcyte-sponsored pre-conference workshop, speakers will share practical perspectives on how digital pathology platforms can support AI deployment across different practice settings. Mayo Clinic speakers will discuss optimizing digital pathology data for storage and AI inference and will discuss LymphoVision, an in-house-developed foundation model, as an example of how academic medical centers are exploring AI within their broader digital pathology strategy. The workshop will also feature Dr. Philip Ferguson of Northwest Arkansas Pathology Associates, who will share a private practice perspective on implementing a digital pathology platform, including considerations for workflow, pathologist adoption, remote review, and selecting technology that can support long-term growth. Together, these perspectives will give attendees a practical look at how digital pathology and AI workflows are being approached in both large academic medical centers and smaller private pathology practices.

Learning Objectives:

1. Compare different approaches to running AI in digital pathology workflows, including in-house models, third-party algorithms, and co-developed solutions.
2. Identify key platform and workflow considerations for implementing AI-ready digital pathology across academic medical centers and private pathology practices.
3. Evaluate practical strategies for supporting pathologist adoption, workflow integration, and long-term scalability in digital pathology implementation.