Public Awareness and Concerns Regarding the Integration of Artificial Intelligence in Radiology Departments in the Western Region of Saudi Arabia

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Authors: Hannen Aljumayi, ‏atheer Alwagdani, ‏fouz Alotibe, Shaden M Alosaimi, Atheer Alboloshi, Aryam Alsalmi, Yahea Abdullah Alzahrani, Ibrahim Alghamdi
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Abstract

Background: The integration of Artificial Intelligence (AI) into radiology improves diagnostics and efficiency, yet its adoption relies on public acceptance, particularly in specific contexts such as Saudi Arabia. This study assessed public awareness, perceptions, and concerns about AI in radiology within the Western Region of Saudi Arabia. Methodology: A cross-sectional study of residents of western Saudi Arabia was conducted from April to June 2025. Data were collected using a validated questionnaire on demographics, AI awareness, attitudes, and knowledge in medical imaging. Analyses were performed in SPSS v.26 using descriptive statistics, Chi-square tests, and t-tests, with significance set at p

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiology practices and education Dental Radiography and Imaging

Publication details

Journal / source
International Journal of Medicine in Developing Countries
Pages
189–198
Publication date
1 January 2026