AI-driven patient support: Evaluating the effectiveness of ChatGPT-4 in addressing queries about ovarian cancer compared with healthcare professionals in gynecologic oncology.

Journal: Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PMID: 40167802

Abstract

PURPOSE: Artificial intelligence (AI) chatbots, such as ChatGPT-4, allow a user to ask questions on an interactive level. This study evaluated the correctness and completeness of responses to questions about ovarian cancer from a GPT-4 chatbot, LilyBot, compared with responses from healthcare professionals in gynecologic cancer care.

Authors

  • Hung-Hsueh Chou
    Department of Obstetrics and Gynecology, Linkou Branch, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan.
  • Yi Hua Chen
    School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.
  • Chiu-Tzu Lin
    Nursing Department, Linkou Branch, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan.
  • Hsien-Tsung Chang
    Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan.
  • An-Chieh Wu
    Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan.
  • Jia-Ling Tsai
    School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.
  • Hsiao-Wei Chen
    School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.
  • Ching-Chun Hsu
    Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan.
  • Shu-Ya Liu
    School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.
  • Jian Tao Lee
    School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan. jtlee@gap.cgu.edu.tw.

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