Digital Pathology in Practice: AI, Integration and Transformation

From lab automation to AI reporting: real-world digital pathology implementation insights

Learn how laboratories are moving beyond digitization to implement interoperable, AI-enabled digital pathology workflows with Agilent. Through an expert-led video session, a practical workflow infographic, and a real-world NHS case study, discover how end-to-end solutions—from staining and scanning to image management and AI analysis—can improve diagnostic confidence, streamline operations, and prepare labs for next-generation reporting. Discover proven implementation strategies, integration of best practices, and actionable insights from live deployments to help accelerate your digital pathology journey.

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From Microscopes to Monitors at Durham and Darlington NHS Foundation Trust

Explore how Durham and Darlington NHS Foundation Trust implemented digital pathology using Agilent solutions to improve turnaround times, collaboration, and quality assurance. This case study reveals how Dako Omnis case loading along with scanner integration support leaner digital workflows and creates the foundation for future AI adoption.

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Digital Pathology and AI 2.0: Truly Taking Usability, Interoperability and AI-Enabled Reporting to the Next Level. Learnings From Real-World Implementation

Dr. Bilal Ahmad, Chair of the Digital Pathology Innovation and Compliance Committee at Spectrum Healthcare Partners, shares real-world insights into achieving interoperability, automation, and AI-enabled reporting. The session covers scanning-to-report workflows, AI-supported quality control, and vendor-neutral integration strategies that enable sustainable digital pathology adoption.

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High-Quality Staining and Expert Digital Pathology from Agilent

This infographic illustrates Agilent end-to-end pathology workflow, from tissue staining, whole-slide imaging to image management with integrated AI-based analysis. It shows how integrated systems and automation help laboratories increase efficiency, standardize processes, and strengthen diagnostic support.

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