Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers.

Journal: Digestion
Published Date: Jun 12, 2024

Abstract

BACKGROUND: Artificial intelligence (AI) is increasingly entering and transforming not only medical research but also clinical practice. In the last 10 years, new AI methods have enabled computers to perform visual tasks, reaching high performance and thereby potentially supporting and even outperforming human experts. This is in particular relevant for colorectal cancer (CRC), which is the 3rd most common cancer type in general, as along the CRC patient journey many complex visual tasks need to be performed: from endoscopy over imaging to histopathology; the screening, diagnosis, and treatment of CRC involve visual image analysis tasks.

Authors

  • Nic Gabriel Reitsam
    Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany, nic.reitsam@uka-science.de.
  • Johanna Sophie Enke
    Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
  • Kien Vu Trung
    Division of Gastroenterology, Medical Department II, University of Leipzig Medical Center, Leipzig, Germany.
  • Bruno Märkl
    Department of Pathology, University Hospital of Augsburg, Augsburg, Germany.
  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.

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