Leveraging artificial intelligence for evidence-based recommendations in uterine fibroid therapy: Addressing the unmet need in German healthcare-A clinical trial.

Journal: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Published Date: Jul 29, 2025

Abstract

OBJECTIVE: To evaluate the potential of an artificial intelligence (AI)-driven large language model, ChatGPT 4.0, to provide personalized, evidence-based treatment recommendations for uterine fibroids.

Authors

  • Iason Psilopatis
    Department of Gynecology and Obstetrics, Universitätsspital Basel, University of Basel, Basel, Switzerland.
  • Laura Lotz
    Department of Gynecology and Obstetrics, Universitätsklinikum Erlangen, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Nadezda Sipulina
    Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Felix Heindl
    Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Georgia Levidou
    Department of Pathology, Nuremberg Clinic, Paracelsus Medical University, Nuremberg, Germany.
  • Julius Emons
    Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

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