Exploring the potential of AI-powered applications for clinical decision-making in gynecologic oncology.

Journal: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Published Date: Jun 13, 2025

Abstract

OBJECTIVE: The rise of artificial intelligence (AI) and large language models like Llama, Gemini, or Generative Pretraining Transformer (GPT) signals a promising new era in natural language processing and has significant potential for application in medical care. This study seeks to investigate the potential of GPT-4 for automated therapy recommendations by examining individual patient health record data with a focus on gynecologic malignancies and breast cancer.

Authors

  • Bastian Meyer
    Department of Gynecology and Obstetrics, Klinikum Rechts der Isar, Technical University Munich (TU), Munich, Germany.
  • Raphael Kfuri-Rubens
    Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Georg Schmidt
    Medizinische Klinik und Poliklinik, Technische Universität München, München, Bayern, Germany.
  • Maliha Tariq
    Department of Gynecology and Obstetrics, TUM University Hospital, Technical University Munich, Munich, Germany.
  • Caroline Riedel
    Department of General Internal Medicine and Psychosomatics, Heidelberg University Hospital, Heidelberg, Germany.
  • Florian Recker
    Department of Gynecology and Obstetrics, Bonn University Hospital, Bonn, Germany.
  • Fabian Riedel
    Department of Gynecology and Obstetrics, Heidelberg University Hospital, Heidelberg, Germany.
  • Marion Kiechle
    Department of Gynecology and Obstetrics, Klinikum Rechts der Isar, Technical University Munich (TU), Munich, Germany.
  • Maximilian Riedel
    Department of Gynecology and Obstetrics, Klinikum Rechts der Isar, Technical University Munich (TU), Munich, Germany.

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