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

Usability Evaluation Case Studies (259) Artificial Intelligence (2129) Imaging Informatics (302) mHealth in a Clinical Setting (743) Participatory Design and Participatory Research (418) Cross-Sectional Studies in Public Health (431) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (13) Attitudes, Beliefs, and Health Behaviours in Human Factors Research (73) Medical imaging (110)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53108, first published .
Patients’ Attitudes Toward the Use of Artificial Intelligence as a Diagnostic Tool in Radiology in Saudi Arabia: Cross-Sectional Study

Patients’ Attitudes Toward the Use of Artificial Intelligence as a Diagnostic Tool in Radiology in Saudi Arabia: Cross-Sectional Study

Patients’ Attitudes Toward the Use of Artificial Intelligence as a Diagnostic Tool in Radiology in Saudi Arabia: Cross-Sectional Study

Authors of this article:

Leena R Baghdadi1 Author Orcid Image ;   Arwa A Mobeirek2 Author Orcid Image ;   Dania R Alhudaithi2 Author Orcid Image ;   Fatimah A Albenmousa2 Author Orcid Image ;   Leen S Alhadlaq2 Author Orcid Image ;   Maisa S Alaql2 Author Orcid Image ;   Sarah A Alhamlan2 Author Orcid Image
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. El-Gazar H, Abdelhafez S, Ali A, Shawer M, Alharbi T, Zoromba M. Are nurses and patients willing to work with service robots in healthcare? A mixed-methods study. BMC Nursing 2024;23(1) View
  2. Kuppanda P, Janda M, Soyer H, Caffery L. What Are Patients’ Perceptions and Attitudes Regarding the Use of Artificial Intelligence in Skin Cancer Screening and Diagnosis? Narrative Review. Journal of Investigative Dermatology 2025;145(8):1858 View
  3. 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
  4. El-Sayed M, Rawashdeh M, Moossa A, Atfah M, Prajna B, Ali M. Patient perspectives on AI in radiology: Insights from the United Arab Emirates. Clinical Imaging 2025;125:110543 View
  5. Mendez-Avila C, Torre S, Arce Y, Contreras P, Rios J, Raza N, Gonzalez H, Hernandez Y, Cabezas A, Lucero M, Ezquerra V, Malamateniou C, Solis-Barquero S. Artificial intelligence in radiology, nuclear medicine and radiotherapy: Perceptions, experiences and expectations from the medical radiation technologists in Central and South America. Journal of Medical Imaging and Radiation Sciences 2025;56(6):102081 View
  6. Ameri S, Mehran N, Margolies L. Patient perception of artificial intelligence in breast imaging: A pilot survey study. Clinical Imaging 2025;128:110649 View
  7. Alghareeb E, Aljehani N. AI in Health Care Service Quality: Systematic Review. JMIR AI 2025;4:e69209 View
  8. Alarifi M. Radiologists’ views on artificial intelligence and the future of radiology: insights from a US National survey. British Journal of Radiology 2025 View