SEPTEMBER 6-10, 2025 | VIENNA, AUSTRIA

Experience the broadest collection of AI models in pathology at ECP 2025

Visit Aiforia's booth #74!

Aiforia's team will attend the European Congress of Pathology (ECP) 2025 in Vienna, Austria. Are you ready to hear how AI-assisted image analysis can increase efficiency, precision, and consistency in the pathology workflow?

Based on your interests, Aiforia's experts can organize AI demos on the spot, or you can get in touch with Tamas Regenyi, our VP of Sales, Europe, to secure a time for a meeting. Don't miss the chance to see the Aiforia® Platform in action. 

See Aiforia highlights at the event below.

Highlights Contact us
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Aiforia highlights

AI Navigator award ceremony

Celebrate those who navigate the future of AI in pathology

With this award, Aiforia would like to recognize the people and projects that are making AI more than just a possibility, they are making it a reality. From accelerating workflows to improving patient outcomes, their contributions are helping reshape the future of pathology.

ic_save_time_pinkMonday, September 8th | 2:00-2:30 pm (CEST)

Icon pinat Aiforia's booth number 74

Presentations

Case No. 5 during the Breast Pathology Slide Seminar

 _Anikó Kovács_portrait_circleSahlgrenska University Hospital_logo

Anikó Kovács, MD, PhD,
Pathologist, Associate Profesor at the Department of Clinical Pathology of the Sahlgrenska Universiyt Hosptial

ic_save_time_pinkSunday, September 7, 03:55-04:10 pm (CEST)

Icon pinSlide Seminar | Hall A

Anikó Kovács, MD, PhD, will present an extraordinary breast cancer case report. During this slide seminar, Professor Kovács will be sharing their experiences with challenging diagnostic breast pathology cases.

Part of SS-01 Breast Pathology Slide Seminar "Lessons I learned from my cases"

 

“Deep-learning based recognition of reticulin stain distinguishes germline mutated from sporadic paragangliomas”

Eleonora Duregon_portrait_circle  University of Turin_logo

Eleonora Duregon,
Assistant Professor of Pathology at the Department of Oncology of the University of Turin

ic_save_time_pinkTuesday, September 9 | 08:30-08:40 AM (CEST)

Icon pinOral Presentation| Room 0.94-95

Professor Duregon discusses the development of a deep learning algorithm that predicts PPGL genetic profile from reticulin-stained WSI.

Part of OFP-10 Oral Free Paper Session Endocrine Pathology & Head and Neck Pathology.

Contact us

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