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TumorDiagnostik & Therapie 2024; 45(09): 617-625
DOI: 10.1055/a-2421-9236
Thieme Onkologie aktuell

Large Language Modelle zur schnellen Vereinfachung der Eingabe von Qualitätssicherungsdaten: Performance-Test mit Echtdaten am Beispiel der Tumordokumentation in der Urologie

Large Language Models for Rapid Simplification of Quality Assurance Data Input: Field Trial with Real Data in the Context of Tumour Documentation in Urology

Authors

  • Johannes Frank

    1   Urology Department, University of Luebeck, Luebeck, Germany (Ringgold ID: RIN9191)
  • Axel S. Merseburger

    1   Urology Department, University of Luebeck, Luebeck, Germany (Ringgold ID: RIN9191)
  • Johannes Landmesser

    1   Urology Department, University of Luebeck, Luebeck, Germany (Ringgold ID: RIN9191)
  • Silvia Brozat-Essen

    1   Urology Department, University of Luebeck, Luebeck, Germany (Ringgold ID: RIN9191)
  • Peter Schramm

    2   Department for Neuroradiology, University of Luebeck, Luebeck, Germany (Ringgold ID: RIN9191)
  • Laura Freimann

    3   Data Protection, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (Ringgold ID: RIN39068)
  • Alexander Kleehaus

    4   IT Consulting, PricewaterhouseCoopers Switzerland, Zuerich, Switzerland (Ringgold ID: RIN504202)
  • Christian Elsner

    5   Center for Artificial Intelligence, University of Luebeck, Luebeck, Germany (Ringgold ID: RIN9191)