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European Congress of Pathology (ECP)
During ECP 2026, we recorded a series of short video interviews with pathologists and researchers presenting their work. These studies highlight how digital pathology, AI, and whole slide imaging are supporting research, diagnosis, and workflow innovation in routine pathology practice using NanoZoomer® technology.
| Event Name | European Congress of Pathology (ECP) |
|---|---|
| Schedule | September 12, 2026 - September 16, 2026 |
| Venue | Stockholm, Sweden |
| Official site | Visit Website |
Posters
Disclaimer: Some presentations discuss AI-based research and image-analysis tools. These technologies support research, image analysis, and workflow processes and do not replace professional clinical judgment.
Digital segmentation of non-neoplastic liver histology
Presenter: Tim C.J. Herkens MD student, Institute of Pathology, Uniklinik RWTH Aachen, Germany
This study explores the development of a segmentation model for non-neoplastic liver histology. The research demonstrates how digital pathology can be used to identify and analyze different liver structures, correlate findings with expert pathologist assessments and gene expression data and support the development of openly available research tools.
AI-assisted assessment of Ki67 and mitotic count in breast cancer
Presenters: Dr. Nilay Bakoglu Malinowski, Assistant Professor of Pathology and Dr. Gözde Çolakoğlu, Pathologist Resident, Istanbul Medipol University, Turkey
Researchers compared manual and fully automated assessment of Ki67 and mitotic count in high-grade invasive breast carcinomas. The study found strong agreement between automated and manual scoring methods, supporting the integration of AI-assisted analysis into routine pathology workflows.
AI-assisted urine cytology: Improving efficiency without compromising accuracy
Presenter: Robert Slunečko, Pathologist at Bioptická laboratoř Plzeň, Czech Republic
This study evaluated whether AI-assisted urine cytology could maintain diagnostic performance while improving efficiency. The results showed that AI-assisted review was more than 30% faster while maintaining sensitivity and specificity comparable to conventional cytology.
Digital pathology enables multi-center research in rare CNS tumors
Presenter: Antonio d'Amati, MD, PhD, Neuropathology Unit, Fondazione Policlinico Gemelli IRCCS, Rome, Italy
A multicenter Italian study investigated high-grade astrocytoma with piloid features (HGAP), a rare tumor entity recognized in the WHO classification of CNS tumors. Digital slides acquired using NanoZoomer® Slide scanner systems enabled centralized case review, image selection, and AI-supported measurements across participating centers.
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