Digital tissue image analysis is a computational method for analyzing whole-slide images and extracting large, complex, and quantitative data sets. But how do we know its results are accurate and complete?
In this webinar hear how leading pathologists describe the robust qualification and quality control instituted for AI-powered image analysis. You’ll gain confidence in the data as they explain the most common endpoints, potential sources of analysis errors, measures to ensure quality and accuracy, qualification approach, and computer validation considerations applied to GLP digital image analysis.
Aleksandra Zuraw, DVM, PhD, Diplomate ACVP
Veterinary Pathologist II
Michael Staup, PhD
Manager, Specialty Pathology
Daniel Rudmann, DVM, PhD, DACVP, FIATP
Global Digital Pathology Lead and Scientific Director, Pathology
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