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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Published on: July 11, 2025

Digital pathology platforms with integrated AI algorithms: a structured landscape analysis and recommendations for

Lina Winter¹, Annalena Artinger¹, Jan Albin¹

¹Institute of Pathology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Virchows Archiv : an International Journal of Pathology

|March 23, 2026

Summary

Digital pathology platforms are evolving, offering AI integration for diagnostics. Careful selection considering regulatory compliance, technical infrastructure, and AI compatibility is crucial for pathology institutes navigating this dynamic market.

Keywords:

Artificial intelligence Diagnostic workflows Digital pathology Market analysis Precision medicine Whole slide imaging

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Area of Science:

Digital pathology
Computational pathology
Artificial intelligence in healthcare

Background:

Pathology diagnostics are transitioning from traditional slide-based methods to digital workflows.
Advancements in whole slide imaging (WSI), data management, and AI enable integration into diagnostic routines.
The expanding market of commercial digital pathology platforms presents challenges in selecting clinically suitable and compliant solutions.

Purpose of the Study:

To identify and compare commercially available digital pathology platforms.
To provide guidance for selecting appropriate digital pathology solutions for routine diagnostic workflows.

Main Methods:

A structured multi-source approach was used, including congress lists, vendor catalogs, and web searches.
Eligibility criteria were applied to identify relevant platforms.
Platforms were compared based on expert-validated parameters, including deployment, WSI format, AI integration, and pricing.

Main Results:

Fourteen digital pathology platforms met the eligibility criteria.
Significant variation exists across platforms in deployment models, WSI format compatibility, AI algorithm integration, and pricing.
Six practical recommendations were developed to aid platform selection.

Conclusions:

Pathology institutes face pressure to digitalize due to increased workloads and staff shortages.
Selecting digital pathology platforms requires consideration of regulatory frameworks, technical infrastructure, and long-term flexibility.
Platforms supporting third-party AI integration and broad WSI format compatibility enhance future adaptability.