Assessing the accuracy of the GPT-4 model in multidisciplinary tumor board decision prediction.

Journal: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Published Date:

Abstract

PURPOSE: Artificial intelligence models like GPT-4 (OpenAI) have the potential to support clinical decision-making in oncology. This study aimed to assess the consistency between multidisciplinary tumor board (MTB) decisions and GPT-4 model predictions in cancer patient management.

Authors

  • Efe Cem Erdat
    Department of Medical Oncology, Ankara University Faculty of Medicine, Tip Fakultesi Cd. No 1 Mamak, Ankara, Turkey. cemerdat@gmail.com.
  • Merih Yalçıner
    Department of Medical Oncology, Ankara University Faculty of Medicine, Tip Fakultesi Cd. No 1 Mamak, Ankara, Turkey.
  • Mehmet Berk Örüncü
    Department of Medical Oncology, Ankara University Faculty of Medicine, Tip Fakultesi Cd. No 1 Mamak, Ankara, Turkey.
  • Yüksel Ürün
    Department of Medical Oncology, Ankara University Faculty of Medicine, Tip Fakultesi Cd. No 1 Mamak, Ankara, Turkey.
  • Filiz Çay Şenler
    Department of Medical Oncology, Ankara University Faculty of Medicine, Tip Fakultesi Cd. No 1 Mamak, Ankara, Turkey.

Keywords

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