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

P. Weselá, M. Eid, P. Moravčík, J. Vlažný, J. Hlavsa, V. Procházka, Z. Kala, P. Vaňhara

. 2025 ; 20 (1) : 15. [pub] 20250617

Status not-indexed Language English Country England, Great Britain

Document type Journal Article, Review

Persistent link   https://www.medvik.cz/link/bmc25014154

Grant support
MUNI/A/1738/2024 Masaryk University
MUNI/A/1558/2023 Masaryk University
MUNI/A/1558/2023 Masaryk University
MUNI/A/1738/2024 Masaryk University
NU23-08-00241 Czech Health Research Council
NU23-08-00241 Czech Health Research Council
NU23-08-00241 Czech Health Research Council
NU23-08-00241 Czech Health Research Council
NU23-08-00241 Czech Health Research Council
NU23-08-00241 Czech Health Research Council
NU23-08-00241 Czech Health Research Council

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.

References provided by Crossref.org

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