Assessing ChatGPT for clinical decision-making in radiation oncology, with open-ended questions and images.

Journal: Practical radiation oncology
Published Date: Apr 29, 2025

Abstract

PURPOSE: This study assesses the practicality and correctness of ChatGPT-4 and 4O's answers to clinical inquiries in radiation oncology, and evaluates ChatGPT-4O for staging NPC cases with MR images.

Authors

  • Wei-Kai Chuang
    Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235, Taiwan; Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
  • Yung-Shuo Kao
    Department of Radiation Oncology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan 330, Taiwan.
  • Yen-Ting Liu
    Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital Yunlin Branch, Yunlin County 632, Taiwan; Department of Biomedical Engineering, National Taiwan University, Taipei 100, Taiwan; Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei 100, Taiwan. Electronic address: nickliucool@ntuh.gov.tw.
  • Cho-Yin Lee
    Department of Radiation Oncology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan 330, Taiwan,; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 112, Taiwan. Electronic address: choyin.lee@nycu.edu.tw.

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