Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17620, first published .
Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Authors of this article:

Rana Abdullah 1 Author Orcid Image ;   Bahjat Fakieh 1 Author Orcid Image

Journals

  1. Bang C, Lee J, Baik G. Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy. Journal of Medical Internet Research 2020;22(9):e21983 View
  2. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  3. Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health & Care Informatics 2021;28(1):e100293 View
  4. Jiang L, Wu Z, Xu X, Zhan Y, Jin X, Wang L, Qiu Y. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. Journal of International Medical Research 2021;49(3):030006052110001 View
  5. Chiu Y, Zhu Y, Corbett J. In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations. International Journal of Information Management 2021;60:102379 View
  6. Santos J, Wong J, Pallath V, Ng K. The perceptions of medical physicists towards relevance and impact of artificial intelligence. Physical and Engineering Sciences in Medicine 2021 View
  7. Chen Y, Stavropoulou C, Narasinkan R, Baker A, Scarbrough H. Professionals’ responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study. BMC Health Services Research 2021;21(1) View