Evaluation of the Impact of Artificial Intelligence on Clinical Practice of Radiology in Saudi Arabia
While radiology professionals in Saudi Arabia are generally positive about integrating AI into clinical practice, significant gaps in knowledge and training need to be addressed. Tailored educational programs are essential to fully leverage AI's potential in improving medical imaging practices and patient care outcomes.
Authors
- Amal I. Alorainy (ORCID: https://orcid.org/0000-0002-9434-4335)
- Awadia Gareeballah (ORCID: https://orcid.org/0000-0001-7320-2795)
- Zuhal Y. Hamd (ORCID: https://orcid.org/0000-0003-2895-2284)
- Mohamed Abuzaid (ORCID: https://orcid.org/0000-0002-6320-9878)
- Monira Ibrahim Aldhahi (ORCID: https://orcid.org/0000-0002-5255-4860)
- Lamia A Bin Moammar (ORCID: https://orcid.org/0009-0007-6007-9282)
- Naifah F. Alsubaie (ORCID: https://orcid.org/0009-0005-0405-9098)
- Shahad A Alshanaiber
- Nehal S Almudayhesh (ORCID: https://orcid.org/0009-0002-9892-924X)
- Raneem A Alyousef (ORCID: https://orcid.org/0009-0001-5350-5710)
- Reem A AlNiwaider
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Taibah University (SA)
- University of Sharjah (AE)
Publication Details
- Journal
- Journal of Multidisciplinary Healthcare
- Published
- 2024-10-01
- DOI
- https://doi.org/10.2147/jmdh.s465508
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- Princess Nourah Bint Abdulrahman University
- Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University