The Preconference workshop at Pathology Visions, presented by PathPresenter (an IMS company), Paige (a leader in AI models for pathology), and the MSKCC Pathology Department, aims to address the evolving landscape of digital pathology in academic settings and lessons learnt from the experience. The session opens with insights from Dr. Ardon at MSKCC, highlighting the unique goals and challenges faced by academic centers during rapid digital pathology expansion, including integration with Epic Beaker and the complexities encountered during their RFP process. This sets the stage for PathPresenter's exploration of interoperability within image management systems (IMS), focusing on the critical integration issues with large-scale systems like Epic. Emphasis is placed on how MSKCC's needs extend beyond primary diagnosis to encompass consultations, education, and research.

AI is set to drive further enhancements to the world of pathology and when considering the digital pathology business case, cannot be an afterthought.  Paige will present their cutting-edge clinical AI products, and how integration with case management and workflows like PathPresenter can make AI central to digital diagnostic review. This will include diagnostic applications like the Paige Breast portfolio - and other multi cancer screening tools for case prioritization.  This review will also include new and upcoming AI applications like Omniscreen and Alba, which are truly changing the face of digital pathology. 

The discussion concludes by underscoring the significance of an end-to-end solution and the necessity for collaborative efforts between leading innovative companies to work together with the goal of maximizing utility for institutions like MSKCC and other organizations.

Learning Objectives

1. Understand the different methods of data retrieval using AI.
2. Learn the concept of building a Knowledge Graph from saved data.
3. Harness the power of modern technologies for making better and faster diagnosis.