Artificial intelligence in pancreatic cancer histopathology and diagnostics - implications for clinical decisions and biomarker discovery?

Petra Weselá, Michal Eid, Petr Moravčík, Jakub Vlažný, Jan Hlavsa, Vladimír Procházka, Zdeněk Kala, Petr Vaňhara

Cell Div. 2025 Jun 17;20(1):15. doi: 10.1186/s13008-025-00158-w.
Abstract
Artificial intelligence (AI) and machine learning (ML) are rapidly advancing fields within computer science, driving significant progress in cancer diagnostics. Various ML models have been developed to assist diagnosis, guide therapy decisions, and facilitate early disease detection. In this review, we discuss diverse AI and ML approaches and critically evaluate their applications and limitations in pancreatic cancer histopathology, diagnostics, and biomarker discovery.