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Updated: Feb 15, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
[The Digital Lab: Practical digital workflow and integration of AI for routine in pathology, through the example of
Solène-Florence Kammerer-Jacquet1, Pierre Allaume1, Katell Guiheux1
1Service d'anatomie et de cytologie pathologiques, centre hospitalier universitaire de Rennes, 35000 Rennes, France.
Abstract:
Digital pathology is a major technological revolution for pathology. It modernizes routine practices and paves the way for the integration of artificial intelligence (AI) solutions for diagnostic and research purposes. At Rennes University Hospital, digital pathology has been routinely deployed since 2020, and an AI solution for the detection of prostate adenocarcinoma (Galen® Prostate, Ibex) has been integrated since July 2023. In this article, we review our experience in Rennes and assess both the impact of digitization on the various professions within the department and the prospective use of AI for routine diagnosis. The concordance between AI and pathologists was 93.2% for the detection of high-probability cancer and 99% for low-probability slides. Among slides with intermediate probability (43% of the total), cancer was confirmed in 4.7% of cases. For Gleason grading, the concordance rate was 76.6%. To date, the integration of AI has not changed the use of immunohistochemistry. A 10% failure rate related to pre-analytical artifacts was observed and is an area for improvement in our practices. Thus, the effectiveness of digital pathology and the use of AI models are closely dependent on pre-analytical quality and its organizational integration.
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