Evaluating the agreement between ChatGPT-4 and validated questionnaires in screening for anxiety and depression in college students: a cross-sectional study.

Journal: BMC psychiatry
PMID: 40211256

Abstract

BACKGROUND: The Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This cross-sectional study assessed the validity and possible usefulness of the ChatGPT-4 in assessing anxiety and depression by comparing two questionnaires.

Authors

  • Jiali Liu
    Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
  • Juan Gu
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
  • Mengjie Tong
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
  • Yake Yue
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
  • Yufei Qiu
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
  • Lijuan Zeng
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
  • Yiqing Yu
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
  • Fen Yang
    School of Nursing, Hubei University of Chinese Medicine, No. 16 West Huangjiahu Road, Hongshan District, Wuhan, 430065, China. fenyang@hbucm.edu.cn.
  • Shuyan Zhao
    Department of Foreign Languages and Literatures, Tsinghua University, Beijing, China.

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