Medical Studies
eISSN: 2300-6722
ISSN: 1899-1874
Medical Studies/Studia Medyczne
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abstract:
Review paper

Artificial intelligence in pathology: from image analysis to clinical decision support

Marzena Pytel
1
,
Jakub Fiegler-Rudol
1
,
Magdalena Kronenberg
1
,
Kinga Cogiel
2
,
Małgorzata Osikowicz
2
,
Tomasz Męcik-Kronenberg
3

  1. Student Research Group at the Chair and Department of Pathomorphology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
  2. Dr. B. Hager Multi-Specialist District Hospital, Tarnowskie Gory, Poland
  3. Chair and Department of Pathomorphology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
Medical Studies
DOI: https://doi.org/10.5114/ms.2025.154278
Online publish date: 2025/09/12
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Artificial intelligence is transforming pathology by enhancing diagnostic precision and supporting clinical decision-making. Its application often involves digital imaging and machine learning to analyse whole slide imaging (WSI) data. AI algorithms can detect cellular abnormalities, classify cancers, and predict outcomes more accurately than traditional approaches, enabling faster and more reliable diagnoses. This is especially valuable in cancer pathology, where early detection and precise classification are critical for effective treatment. Despite its benefits, AI faces challenges, including limited data availability, algorithm validation, and seamless integration into clinical workflows. This paper reviews current literature on AI’s role in pathology, highlighting its capacity to improve diagnostic accuracy and efficiency while examining barriers to broader adoption. As technology advances, AI holds substantial promise to revolutionize the discipline, ultimately enhancing patient care and reducing diagnostic errors. By addressing challenges, AI-driven pathology may soon become a cornerstone of modern healthcare.
keywords:

artificial intelligence, AI, prognosis, cancer, pathology
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