Evaluating ChatGPT to test its robustness as an interactive information database of radiation oncology and to assess its responses to common queries from radiotherapy patients: A single institution investigation.

Journal: Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Published Date:

Abstract

PURPOSE: Commercial vendors have created artificial intelligence (AI) tools for use in all aspects of life and medicine, including radiation oncology. AI innovations will likely disrupt workflows in the field of radiation oncology. However, limited data exist on using AI-based chatbots about the quality of radiation oncology information. This study aims to assess the accuracy of ChatGPT, an AI-based chatbot, in answering patients' questions during their first visit to the radiation oncology outpatient department and test knowledge of ChatGPT in radiation oncology.

Authors

  • V K Pandey
    Radiation Oncology, Manipal Hospital Dwarka, Delhi, India. Electronic address: kpvikas1104@gmail.com.
  • A Munshi
    Radiation Oncology, Manipal Hospital Dwarka, Delhi, India.
  • B K Mohanti
    Radiation Oncology, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • K Bansal
    Radiation Oncology, Narayana Hospital, Gurugram, Haryana, India.
  • K Rastogi
    Radiation Oncology, Sterling Hospital, Gandhidham, Gujrat, India.