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

• Authors: WESELÁ Petra; EID Michal; MORAVČÍK Petr; VLAŽNÝ Jakub; HLAVSA Jan; PROCHÁZKA Vladimír; KALA Zdeněk; VAŇHARA Petr
• Year of publication: 2025
• Type: Article in Periodical
• Magazine / Source: Cell Division
• MU Faculty or unit: Faculty of Medicine
• web: https://celldiv.biomedcentral.com/articles/10.1186/s13008-025-00158-w
• Doi: http://dx.doi.org/10.1186/s13008-025-00158-w
• Keywords: Artificial intelligence; Machine learning; Multimodal learning;Pancreatic cancer; Pancreatic ductal adenocarcinoma; Biomarker discovery

Attached files

• Wesela_2025_-_Cell_Div.pdf

• Description: 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.

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