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Aligning computational pathology with clinical practice for colorectal cancer.

Year: 2025

Type: article

Abstract: The pathology report in colorectal cancer (CRC) consists of more than 20 elements defined in guidelines such as the International Collaboration on Cancer Reporting (ICCR) guidelines. Recently, computational tools have been proposed to advance the CRC diagnostic routine, yet most lack clinically validated results and focus on only three report elements. This review gives an overview of the current gaps and will contribute to aligning computational pathology with clinical practice.

Source: Open Access CRIS of the University of Bern

DOI: 10.48620/93014

Authors: Baumann, Elias, Carreño-Martínez, José F., Frei, Ana Leni, García-Baroja, Javier, Gwerder, Mauro, Khan, Amjad, Mehmeti, Rina, Hanimann, Jacob, Zens Philipp, Dawson, Heather E., Lugli, Alessandro, Zlobec, Inti

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7114774177

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