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Review Article
Online Published: 15 Dec 2025
 


Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study

Yahea Abdullah Alzahrani, Bader Safar Ghorm Allah Alghamdi, Haneen Altowairqi, Wajd Abdulrahman Alotaibi, Nawaf Nawar Alsyali, Faris Hamed Alharthi, Mashael Saad Turki Alotaibi.


Abstract
Background: Artificial Intelligence (AI) is revolutionizing radiology practice by supporting diagnostic accuracy and efficiency, yet many radiologists have not integrated it into their daily workflows. However, literature on radiology AI knowledge and perceptions among medical students is limited, both globally and within Saudi Arabia.
Objectives: This study evaluates the extent of knowledge and understanding of AI applications in radiology among medical students from various universities in Saudi Arabia.
Methodology: We conducted a cross-sectional study involving 351 medical students from different universities in Saudi Arabia. The online questionnaire included demographic characteristics and questions regarding awareness of AI applications in radiology, as well as preferred learning methods. Descriptive statistics were used for basic understanding, and the chi-square test was employed to assess associations between demographic characteristics and awareness of AI.
Results: The survey revealed that 66.9% of participants had some level of awareness regarding AI in radiology, whereas 33.1% had little or no knowledge of it. The presence of a dedicated radiology module in the curriculum was significantly associated with higher awareness of AI applications (p < 0.001). The preferred learning methods included lectures (47.3%), workshops (43.0%), and extracurricular activities (35.3%). A total of 59.3% of students agreed or strongly agreed that AI should be included in the medical curriculum; however, only a quarter felt they had adequate opportunities to learn about it.
Conclusion: There is a high level of awareness of AI among medical students in Saudi Arabia, but this does not equate to comprehensive education on all aspects of AI use in radiology. The results highlight a lack of formalized AI training in medical schools, suggesting the need for its integration into the curriculum to prepare future physicians who will increasingly rely on this technology in their practice. A collaborative focus on both the technical and ethical aspects of AI is necessary as we continue to explore this issue.

Key words: Artificial intelligence, radiology, Saudi Arabia universities.


 
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Pubmed Style

Alzahrani YA, Alghamdi BSGA, Altowairqi H, Alotaibi WA, Alsyali NN, Alharthi FH, Alotaibi MST. Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. IJMDC. 2025; 9(11): 2875-2892. doi:10.24911/IJMDC.51-1759667128

Web Style

Alzahrani YA, Alghamdi BSGA, Altowairqi H, Alotaibi WA, Alsyali NN, Alharthi FH, Alotaibi MST. Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. https://www.ijmdc.com/?mno=288326 [Access: June 23, 2026]. doi:10.24911/IJMDC.51-1759667128

AMA (American Medical Association) Style

Alzahrani YA, Alghamdi BSGA, Altowairqi H, Alotaibi WA, Alsyali NN, Alharthi FH, Alotaibi MST. Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. IJMDC. 2025; 9(11): 2875-2892. doi:10.24911/IJMDC.51-1759667128


Vancouver/ICMJE Style

Alzahrani YA, Alghamdi BSGA, Altowairqi H, Alotaibi WA, Alsyali NN, Alharthi FH, Alotaibi MST. Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. IJMDC. (2025), [cited June 23, 2026]; 9(11): 2875-2892. doi:10.24911/IJMDC.51-1759667128


Harvard Style

Alzahrani, Y. A., Alghamdi, . B. S. G. A., Altowairqi, . H., Alotaibi, . W. A., Alsyali, . N. N., Alharthi, . F. H. & Alotaibi, . M. S. T. (2025) Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. IJMDC, 9 (11), 2875-2892. doi:10.24911/IJMDC.51-1759667128


Turabian Style

Alzahrani, Yahea Abdullah, Bader Safar Ghorm Allah Alghamdi, Haneen Altowairqi, Wajd Abdulrahman Alotaibi, Nawaf Nawar Alsyali, Faris Hamed Alharthi, and Mashael Saad Turki Alotaibi. 2025. Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. International Journal of Medicine in Developing Countries, 9 (11), 2875-2892. doi:10.24911/IJMDC.51-1759667128


Chicago Style

Alzahrani, Yahea Abdullah, Bader Safar Ghorm Allah Alghamdi, Haneen Altowairqi, Wajd Abdulrahman Alotaibi, Nawaf Nawar Alsyali, Faris Hamed Alharthi, and Mashael Saad Turki Alotaibi. "Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study." International Journal of Medicine in Developing Countries 9 (2025), 2875-2892. doi:10.24911/IJMDC.51-1759667128


MLA (The Modern Language Association) Style

Alzahrani, Yahea Abdullah, Bader Safar Ghorm Allah Alghamdi, Haneen Altowairqi, Wajd Abdulrahman Alotaibi, Nawaf Nawar Alsyali, Faris Hamed Alharthi, and Mashael Saad Turki Alotaibi. "Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study." International Journal of Medicine in Developing Countries 9.11 (2025), 2875-2892. Print. doi:10.24911/IJMDC.51-1759667128


APA (American Psychological Association) Style

Alzahrani, Y. A., Alghamdi, . B. S. G. A., Altowairqi, . H., Alotaibi, . W. A., Alsyali, . N. N., Alharthi, . F. H. & Alotaibi, . M. S. T. (2025) Awareness about the role of artificial intelligence in diagnostic radiology among medical students in Saudi Arabia: a crosssectional study. International Journal of Medicine in Developing Countries, 9 (11), 2875-2892. doi:10.24911/IJMDC.51-1759667128




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