Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia

Mohammed Hazem; Ali Fahmi Alkhars; Sharifah Khalid Almulhim; Omar Saad Alateeq; Razan Mohammed Al Omireen

doi:10.24911/IJMDC.51-1727514213

2025, Vol: 9, Issue: 2

9 / 2Current Issue Online First Archive Aims and Scope Abstracting & Indexing Most Accessed Articles Most Downloaded Articles Most Cited Articles

« Previous Article

Original Article
Online Published: 25 Oct 2024

IJMDC. 2024; 8(9): 2372-2380

doi: 10.24911/IJMDC.51-1727514213

Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia

Mohammed Hazem, Ali Fahmi Alkhars, Sharifah Khalid Almulhim, Omar Saad Alateeq, Razan Mohammed Al Omireen.

Abstract
Background: Artificial intelligence (AI) is increasingly influencing medical students’ perceptions of radiology as a career. Studies from the United Kingdom, Switzerland, Jordan, and the Middle East reveal that while students acknowledge AI’s growing importance in healthcare, many fear that AI could replace radiologists or reduce job opportunities, impacting their specialty choices. These findings highlight the need for more research and education on AI’s role in radiology and its broader implications for the profession.
Methods: A cross-sectional survey was conducted at King Faisal University, Saudi Arabia, to assess 176 medical students’ knowledge and perceptions of AI in radiology, and how these perceptions influenced their specialty choices. Data were collected through an online questionnaire and analyzed using Statistical Package for the Social Sciences software.
Results: Of the 176 participants, 84.7% were in their clinical years, with an average age of 22.2 years. Only 5.1% of students listed radiology as their top specialty, increasing to 8% if AI were not a factor. A majority (72.2%) had limited knowledge of AI’s role in radiology, with most learning about AI from media and peers. Clinical-year students demonstrated a higher level of AI knowledge, although no significant correlation was found between AI knowledge and the choice of radiology as a specialty. Students expressed a preference for learning about AI through rotations and pre-clinical lectures.
Conclusion: Despite AI’s potential to revolutionize radiology by improving diagnostics and reducing errors, most students showed limited knowledge of AI in the field. Clinical-year students, with more exposure to radiology, had a better understanding of AI’s role. Concerns about AI reducing job opportunities were common, mirroring global trends. Media and peer discussions were the primary sources of AI information, but many students remained unaware of AI’s specific applications in radiology. Overall, AI had a minimal effect on students’ specialty preferences.

Key words: Artificial intelligence, radiology, medical students, specialty choice, King Faisal University, Saudi Arabia, cross-sectional analysis

	ARTICLE TOOLS
	Abstract
	PDF Fulltext
	How to cite this article
	Citation Tools
	Related Records
	Articles by Mohammed Hazem Articles by Ali Fahmi Alkhars Articles by Sharifah Khalid Almulhim Articles by Omar Saad Alateeq Articles by Razan Mohammed Al Omireen
	on Google
	on Google Scholar

How to Cite this Article

Pubmed Style

Hazem M, Alkhars AF, Almulhim SK, Alateeq OS, Omireen RMA. Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. IJMDC. 2024; 8(9): 2372-2380. doi:10.24911/IJMDC.51-1727514213

Web Style

Hazem M, Alkhars AF, Almulhim SK, Alateeq OS, Omireen RMA. Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. https://www.ijmdc.com/?mno=222348 [Access: March 17, 2025]. doi:10.24911/IJMDC.51-1727514213

AMA (American Medical Association) Style

Hazem M, Alkhars AF, Almulhim SK, Alateeq OS, Omireen RMA. Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. IJMDC. 2024; 8(9): 2372-2380. doi:10.24911/IJMDC.51-1727514213

Vancouver/ICMJE Style

Hazem M, Alkhars AF, Almulhim SK, Alateeq OS, Omireen RMA. Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. IJMDC. (2024), [cited March 17, 2025]; 8(9): 2372-2380. doi:10.24911/IJMDC.51-1727514213

Harvard Style

Hazem, M., Alkhars, . A. F., Almulhim, . S. K., Alateeq, . O. S. & Omireen, . R. M. A. (2024) Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. IJMDC, 8 (9), 2372-2380. doi:10.24911/IJMDC.51-1727514213

Turabian Style

Hazem, Mohammed, Ali Fahmi Alkhars, Sharifah Khalid Almulhim, Omar Saad Alateeq, and Razan Mohammed Al Omireen. 2024. Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. International Journal of Medicine in Developing Countries, 8 (9), 2372-2380. doi:10.24911/IJMDC.51-1727514213

Chicago Style

Hazem, Mohammed, Ali Fahmi Alkhars, Sharifah Khalid Almulhim, Omar Saad Alateeq, and Razan Mohammed Al Omireen. "Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia." International Journal of Medicine in Developing Countries 8 (2024), 2372-2380. doi:10.24911/IJMDC.51-1727514213

MLA (The Modern Language Association) Style

Hazem, Mohammed, Ali Fahmi Alkhars, Sharifah Khalid Almulhim, Omar Saad Alateeq, and Razan Mohammed Al Omireen. "Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia." International Journal of Medicine in Developing Countries 8.9 (2024), 2372-2380. Print. doi:10.24911/IJMDC.51-1727514213

APA (American Psychological Association) Style

Hazem, M., Alkhars, . A. F., Almulhim, . S. K., Alateeq, . O. S. & Omireen, . R. M. A. (2024) Impact of artificial intelligence on medical Students’ radiology career choices: a cross-sectional Study at King Faisal University, Saudi Arabia. International Journal of Medicine in Developing Countries, 8 (9), 2372-2380. doi:10.24911/IJMDC.51-1727514213

Most Viewed Articles

Most Accessed Articles

Marginal adaptation of fixed prosthodontics
Shahad Mohammed Halawani, Sahar Amer Al-Harbi
IJMDC. 2017; 1(2): 78-84
» Abstract » doi: 10.24911/IJMDC.1.2.7

Parasites in central nervous system
Amal Ahmed Mohamed, Asmaa Mohamed Mansour
IJMDC. 2017; 1(2): 72-77
» Abstract » doi: 10.24911/IJMDC.1.2.6

Non-diabetic retinopathy: a case report
Hassan F. Alkwikbi, Nabil Mamon Abdelfattah, Haithem Mamon Abdelfattah
IJMDC. 2017; 1(1): 33-37
» Abstract » doi: 10.24911/IJMDC.1.1.6

Vitamin D deficiency among high school female students in Riyadh
Sahar Mohsen Aldhafeeri, Fatemah Ibraheem Alrawaji, Abrar Mubarak Algharbi, Alanoud Abdullah Alhessan, Ayat Sami Qabaja, Ghaleah Abdulaziz Alnassar, Ghaliah Ofayn Alsulami, Mashael Belal Alrubaian, Norah Abdulaziz Alhatim, Salehah Salih Alotaibi, Zahra Ali Alkhamees
IJMDC. 2017; 1(1): 18-23
» Abstract » doi: 10.24911/IJMDC.1.1.4

Prognosis of chronic complications of diabetes mellitus (DM) after multiple events of diabetic ketoacidosis (DKA)
Baraa Faiez Rajab, Anwar Essa Alamrim, Ali Essa Alamri
IJMDC. 2019; 3(5): 474-479
» Abstract » doi: 10.24911/IJMDC.51-1546551993

Most Downloaded

Top Downloaded Articles

Anti-IL-17 markedly inhibited the in vitro granuloma induced by Schistosoma mansoni soluble egg antigen.
Asmaa Ezz, Irene S. Gmail, Fatma Elzahraa H. Salem, Rabab Salama, Soad Nady
IJMDC. 2018; 2(January 2018): 38-46
» Abstract » doi: 10.24911/IJMDC.2.1.7

Antibiotic Resistance Crisis
Nuha Saad Mobarki, Buthaina Abdullah Almerabi, Ahmad Hattan Hattan
IJMDC. 2019; 3(6): 561-564
» Abstract » doi: 10.24911/IJMDC.51-1549060699

The knowledge of mothers about children malnutrition and associated factors
Anas Abdulrahman Aljohani, Mujahid Abdulrahman Aljohani
IJMDC. 2020; 4(1): 7-11
» Abstract » doi: 10.24911/IJMDC.51-1541620358

Knowledge and attitude of caregivers of cerebral palsy children in Riyadh city
Abdulaziz Alruwaished, Baleegh Ali, Lubna Abdullah Alhowaimil , Abaraa adullah Alhowaimil, Najd Abdullah Alhowaimil, Aminah Alessa
IJMDC. 2020; 4(1): 12-17
» Abstract » doi: 10.24911/IJMDC.51-1547833051

Most Cited Articles

Most Cited Articles

Antibiotic Resistance Crisis
Nuha Saad Mobarki, Buthaina Abdullah Almerabi, Ahmad Hattan Hattan
IJMDC. 2019; 3(6): 561-564
» Abstract » doi: 10.24911/IJMDC.51-1549060699
Cited : 34 times [Click to see citing articles]

Prevalence of depression, anxiety and stress among diabetes mellitus patients in Arar, Northern Saudi Arabia
AMohammed Elamin Mukrim, Nujud Muteb D. Alshammari, Wurud Muteb D. Alshammari, Maali Subhi T. Alshammari, Yousef Nasif R. Alshammari, Abdulaziz Sael M. Alshammari, Maisa Hamad F. Alanazi, Abdulelah Abdulrhman F. Alzammam, Muharib Mana M. Alshammari, Slwa Khaled Abu Asyah, Aseel Jamal Alzuhayri, Mushref Saeid Alshammari
IJMDC. 2019; 3(3): 229-233
» Abstract » doi: 10.24911/IJMDC.51-1542576396
Cited : 8 times [Click to see citing articles]

Knowledge, attitude, and practice of breast self-examination toward breast cancer among female students at King Saud University in Riyadh, Saudi Arabia
Abdullah Nasser Alomair, Dania Ghazi Felemban, Mohannad Sami Felemban, Jameel Abdullah Awadain, Ammar Saud Altowairqi, Nawaf Fawzan Alfawzan, Fatimah Mohammed Almazayen, Abdulrahman Jalwi Korkoman, Nawaf Saad Alrusayyis
IJMDC. 2020; 4(2): 429-434
» Abstract » doi: 10.24911/IJMDC.51-1576668182
Cited : 8 times [Click to see citing articles]

Population awareness about rheumatoid arthritis in Jazan region, Saudi Arabia
Ahmad Ali Hazzazi, Mohssen Hassen Ageeli, Ahmed Ali Muyidi, Abdulaziz Mohammad Abulgasim, Abdullah Ahmad Yateemi, Nabil Alhakami
IJMDC. 2020; 4(3): 668-675
» Abstract » doi: 10.24911/IJMDC.51-1576010943
Cited : 4 times [Click to see citing articles]

Prevalence and factors associated with depression among health care workers in National Guard Hospital in Riyadh, KSA
Noor Mohammad AlFahhad
IJMDC. 2018; 2(September 2018): 92-96
» Abstract » doi: 10.24911/IJMDC.51-1526306040
Cited : 4 times [Click to see citing articles]

About International Journal of Medicine in Developing Countries

Contact Information

How to cite this article