What is The State of the Practice of digital pathology as we enter 2022? Where are we in terms of integrated workflows, predictive and prognostic algorithms based on H&E morphology, and incorporating AI into workflows or diagnostic assistance?
Perhaps most pressingly, have we finally made the business case for wide scale adoption of digital pathology?
Our guest is Michael Feldman, MD, PhD, Professor of Pathology and Laboratory Medicine at the University of Pennsylvania as well as Vice Chair for Clinical Services and Director of the office of Pathology Informatics. We're going to be talking about all these things and in addition perhaps a perspective on digital pathology in an academic setting. Will digital fellows become a reality - artificial intelligence enabled machines that will organize, prepare, preview, maybe even diagnose cases and prepare the report for sign out? We’ll discuss what image analysis and computational algorithms mean for the diagnostic acumen of trainees in the next generation of pathologists.
