Enabling Just-in-Time Clinical Oncology Analysis With Large Language Models: Feasibility and Validation Study Using Unstructured Synthetic Data

Peter May   ¹ , MA, MPH, Dr med ;   Julian Greß   ^{1, 2} ;   Christoph Seidel   ³ , MBA, PD, Dr med ;   Sebastian Sommer   ⁴ , Dr med ;   Markus K Schuler   ^{2, 5} , PD, Dr med ;   Sina Nokodian   ¹ ;   Florian Schröder   ² , PhD ;   Johannes Jung   ^{1, 6} , PhD, Dr med

¹ Department of Internal Medicine III, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany

² MPiriQ Science Technologies GmbH, Munich, Germany

³ Department of Oncology, Hematology and Bone Marrow Transplantation with Division of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

⁴ MVZ Elisenhof, Munich, Germany

⁵ Onkologischer Schwerpunkt am Oskar-Helene Heim, Berlin, Germany

⁶ Department of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany