Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.

Journal: Journal of medical Internet research
PMID: 37856181

Abstract

BACKGROUND: Artificial intelligence (AI) is transforming various fields, with health care, especially diagnostic specialties such as radiology, being a key but controversial battleground. However, there is limited research systematically examining the response of "human intelligence" to AI.

Authors

  • Yanhua Chen
    School of Public Health and Management, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
  • Ziye Wu
    Vanke School of Public Health, Tsinghua University, Beijing, China.
  • Peicheng Wang
    Vanke School of Public Health, Tsinghua University, Beijing, China.
  • Linbo Xie
    Vanke School of Public Health, Tsinghua University, Beijing, China.
  • Mengsha Yan
    Vanke School of Public Health, Tsinghua University, Beijing, China.
  • Maoqing Jiang
    Department of Radiology, Ningbo No. 2 Hospital, Ningbo, China.
  • Zhenghan Yang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Jianjun Zheng
    HwaMei Hospital, University of Chinese Academy of Sciences, 41 Xibei Street, Ningbo, 315010, China. Electronic address: zhengjianjun@ucas.ac.cn.
  • Jingfeng Zhang
    Department of Radiology, Ningbo No. 2 Hospital, Ningbo, 315010, China (J.Z.).
  • Jiming Zhu
    Vanke School of Public Health and School of Medicine, Tsinghua University, Beijing, China; Institute for Hospital Management, Tsinghua Shenzhen International Graduate School, Shenzhen, China.

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