A machine learning tool for identifying metastatic colorectal cancer in primary care.

Journal: Scandinavian journal of primary health care
Published Date: Mar 13, 2025

Abstract

BACKGROUND: Detection of colorectal cancer (CRC) is mainly achieved by clinical assessment. As new treatments become available for metastatic CRC (MCRC), it is important to accurately identify these patients.

Authors

  • Eliya Abedi
    Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
  • Marcela Ewing
    Department of Community Medicine and Public Health, Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
  • Elinor Nemlander
    Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
  • Jan Hasselström
    Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
  • Annika Sjövall
    Regional Cancer Centre Stockholm-Gotland, Region Stockholm, Stockholm, Sweden.
  • Axel C Carlsson
    Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden; Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden. Electronic address: axel.carlsson@ki.se.
  • Andreas Rosenblad
    Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.

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