This paper is in the following e-collection/theme issue:

Demographics of Users, Social & Digital Divide (914) Artificial Intelligence (2129) Health Informatics Education and Training (81) E-Health / Health Services Research and New Models of Care (718) Artificial Intelligence (AI) in Medical Education (182)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48249, first published .
Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study

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

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

Authors of this article:

Yanhua Chen1, 2 Author Orcid Image ;   Ziye Wu1 Author Orcid Image ;   Peicheng Wang1, 2 Author Orcid Image ;   Linbo Xie1, 2 Author Orcid Image ;   Mengsha Yan1 Author Orcid Image ;   Maoqing Jiang3 Author Orcid Image ;   Zhenghan Yang4 Author Orcid Image ;   Jianjun Zheng3 Author Orcid Image ;   Jingfeng Zhang3 Author Orcid Image ;   Jiming Zhu1, 5 Author Orcid Image
Article Authors Cited by (27) Tweetations (4) Metrics

Journals

  1. Alkhatieb M, Subke A. Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia. Cureus 2024 View
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  4. Rajagopal A, Ayanian S, Ryu A, Qian R, Legler S, Peeler E, Issa M, Coons T, Kawamoto K. Machine Learning Operations in Health Care: A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):421 View
  5. Nelson A, Ivarsson A, Lydell M. Employability and long-term work life outcomes from studying at a Swedish university college: problematizing the notion of mismatch. Higher Education, Skills and Work-Based Learning 2025;15(7):48 View
  6. Tong W, Zhang X, Zeng H, Pan J, Gong C, Zhang H. Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era. JMIR Medical Education 2024;10:e48594 View
  7. Arkoh S, Akudjedu T, Amedu C, Antwi W, Elshami W, Ohene-Botwe B. Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review. Journal of Medical Imaging and Radiation Sciences 2025;56(1):101769 View
  8. Fang X, Ma C, Liu X, Deng X, Liao J, Zhang T. Burnout crisis in Chinese radiology: will artificial intelligence help?. European Radiology 2024;35(3):1215 View
  9. Stogiannos N, O'Regan T, Scurr E, Litosseliti L, Pogose M, Harvey H, Kumar A, Malik R, Barnes A, McEntee M, Malamateniou C. Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK. Journal of Medical Imaging and Radiation Sciences 2025;56(1):101797 View
  10. Goyal S, Sakhi P, Kalidindi S, Nema D, Pakhare A. Knowledge, Attitudes, Perceptions, and Practices Related to Artificial Intelligence in Radiology Among Indian Radiologists and Residents: A Multicenter Nationwide Study. Cureus 2024 View
  11. Soleimantabar H, Mahdavi A, Qorbani M, Madanipour M, Tasharrofi M, Okhovvat B. Artificial Intelligence in Radiology: Perceptions, Adoption Barriers, and Trust Among Iranian Radiologists in a Global Context. InfoScience Trends 2025;2(3):1 View
  12. Mo Y, Zhao F, Yuan L, Xing Q, Zhou Y, Wu Q, Li C, Lin J, Wu H, Deng S, Zhang M. Healthcare providers’ perceptions of artificial intelligence in diabetes care: A cross-sectional study in China. International Journal of Nursing Sciences 2025;12(3):218 View
  13. Lawrence R, Dodsworth E, Massou E, Sherlaw-Johnson C, Ramsay A, Walton H, O'Regan T, Gleeson F, Crellin N, Herbert K, Ng P, Elphinstone H, Mehta R, Lloyd J, Halliday A, Morris S, Fulop N. Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review. eClinicalMedicine 2025;83:103228 View
  14. Qi Y, Mohamad E, Azlan A, Zhang C. Utilization of artificial intelligence in clinical practice: A systematic review of China's experiences. DIGITAL HEALTH 2025;11 View
  15. Verghese B, Iyer C, Borse T, Cooper S, White J, Sheehy R. Modern artificial intelligence and large language models in graduate medical education: a scoping review of attitudes, applications & practice. BMC Medical Education 2025;25(1) View
  16. Schlemmer H. Navigating the AI revolution: will radiology sink or soar?. Japanese Journal of Radiology 2025;43(10):1628 View
  17. Dai Q, Li M, Yang M, Shi S, Wang Z, Liao J, Li Z, E W, Tao L, Tang Y. Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2025;27:e75343 View
  18. Sabo K, Sarno D. Initial Explorations of Applying Human Factors Principles to a BI-RADS CAD System. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):1298 View
  19. Stogiannos N, Skelton E, van Leeuwen K, Edgington S, Shelmerdine S, Malamateniou C. Vendors’ perspectives on AI implementation in medical imaging and oncology: a cross-sectional survey. European Radiology 2025 View
  20. Abdelwanis M, Simsekler M, Gabor A, Sleptchenko A, Omar M. Artificial intelligence adoption challenges from healthcare providers’ perspectives: A comprehensive review and future directions. Safety Science 2026;193:107028 View
  21. Ye Z, Lu Q, Wang J, Jiang Y, Xue P, Hasan H. A quantitative study of pathologists’ perceptions towards artificial intelligence-assisted diagnostic system. PLOS Digital Health 2025;4(10):e0001052 View
  22. Goh S, Ng Q, Chan F, Goh R, Jagmohan P, Ali S, Koh G. Radiologists’ Perspectives on AI Integration in Mammographic Breast Cancer Screening: A Mixed Methods Study. Cancers 2025;17(21):3491 View
  23. Nilsen P, Svedberg P, Larsson I, Petersson L, Nygren J, Steerling E, Neher M. Integrating artificial intelligence into radiology practice: a qualitative case study of radiology staff experiences in a Swedish hospital (Preprint). JMIR Formative Research 2025 View
  24. Li H, Zhang S, Tao L, Li X, Liu J. Acceptance of healthcare services based on the large language model in China: a national cross-sectional study. BMC Public Health 2025;25(1) View
  25. Goh S, Du H, Tan L, Seah E, Lau W, Ng A, Lim S, Ong H, Lau S, Tan Y, Khaw M, Yap C, Hui K, Tan W, Abdul H, Khoo V, Ge S, Pool F, Choo Y, Wang Y, Jagmohan P, Gopinathan P, Hartman M, Feng M. Impact of AI on Breast Cancer Detection Rates in Mammography by Radiologists of Varying Experience Levels in Singapore: Preliminary Comparative Study. JMIR Formative Research 2025;9:e66931 View

Books/Policy Documents

  1. Sowriraghavan A. Women in AI and Sustainability. View

Conference Proceedings

  1. Wieczorek C, Biggs H, Payyapilly Thiruvenkatanathan K, Bardzell S. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Architecting Utopias: How AI in Healthcare Envisions Societal Ideals and Human Flourishing View