Health AI Central
Peer-Reviewed Publication
Eur J Surg Oncol2025;51(7):109541.July 1, 2025Journal Article

Artificial intelligence in surgical pathology - Where do we stand, where do we go?

Chen Sagiv1, Ofir Hadar2, Abderrahman Najjar3, Jens Pahnke4
1DeePathology Ltd., HaTidhar 5, P. O. Box 2622, Ra'anana, IL-4365104, Israel. Electronic address: chen@deepathology.ai.
2DeePathology Ltd., HaTidhar 5, P. O. Box 2622, Ra'anana, IL-4365104, Israel.
3Department of Pathology, Rabin Medical Center (RMC), Ze'ev Jabotinsky 39, Petah Tikva, IL-4941492, Israel.
4Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine (KlinMed), Medical Faculty, University of Oslo (UiO) and Section of Neuropathology Research, Department of Pathology, Clinics for Laboratory Medicine (KLM), Oslo University Hospital (OUS), Sognsvannsveien 20, NO-0372, Oslo, Norway; Institute of Nutritional Medicine (INUM) and Lübeck Institute of Dermatology (LIED), University of Lübeck (UzL) and University Medical Center Schleswig-Holstein (UKSH), Ratzeburger Allee 160, D-23538, Lübeck, Germany; Department of Pharmacology, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, LV-1004, Rīga, Latvia; Department of Neurobiology, School of Neurobiology, Biochemistry and Biophysics, The Georg S. Wise Faculty of Life Sciences, Tel Aviv University, Ramat Aviv, IL-6997801, Israel. Electronic address: jens.pahnke@gmail.com.
PubMed DOI

Abstract

Surgical and neuropathologists continuously search for new and disease-specific features, such as independent predictors of tumor prognosis or determinants of tumor entities and sub-entities. This is a task where artificial intelligence (AI)/machine learning (ML) systems could significantly contribute to help with tumor outcome prediction and the search for new diagnostic or treatment stratificati…

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