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CC BY 4.0 · Endosc Int Open 2024; 12(10): E1102-E1117
DOI: 10.1055/a-2403-3103
Review

Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions

Authors

  • Ayla Thijssen

    1   GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands (Ringgold ID: RIN5211)
    2   Department of Gastroenterology and Hepatology, Maastricht Universitair Medisch Centrum+, Maastricht, Netherlands (Ringgold ID: RIN199236)
  • Ramon-Michel Schreuder

    3   Department of Gastroenterology and Hepatology, Catharina Hospital, Eindhoven, Netherlands (Ringgold ID: RIN3168)
    1   GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands (Ringgold ID: RIN5211)
  • Nikoo Dehghani

    4   Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
  • Marieke Schor

    5   University Library, Department of Education and Support, Maastricht University, Maastricht, Netherlands (Ringgold ID: RIN5211)
  • Peter H.N. de With

    4   Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
  • Fons van der Sommen

    4   Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
  • Jurjen J. Boonstra

    6   Department of Gastroenterology and Hepatology, Leids Universitair Medisch Centrum, Leiden, Netherlands (Ringgold ID: RIN4501)
  • Leon M.G. Moons

    7   Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, Netherlands
  • Erik J. Schoon

    3   Department of Gastroenterology and Hepatology, Catharina Hospital, Eindhoven, Netherlands (Ringgold ID: RIN3168)
    1   GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands (Ringgold ID: RIN5211)