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<p>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.</p> Graphical abstract <p></p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月17日

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

摘要

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.

Graphical abstract