The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia

Omar M. Wazgar; Ahmad A. Mirza; Ammar A. Almaghrabi; Roaa M. Ghandour; Sarah A. Alenizi; Khalid S. Alraddadi; Abdulrahim A. Mirza; Fayzah H. Al-Adwani; Mohammed A. Alsakkaf; Yahea Alzahrani

doi:10.20944/preprints202202.0338.v2

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preprints.org > medicine and pharmacology > other > doi: 10.20944/preprints202202.0338.v2

Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia

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Version 1 : Received: 24 February 2022 / Approved: 25 February 2022 / Online: 25 February 2022 (13:52:22 CET)
Version 2 : Received: 21 May 2022 / Approved: 23 May 2022 / Online: 23 May 2022 (11:13:31 CEST)

How to cite: Wazgar, O.M.; Mirza, A.A.; Almaghrabi, A.A.; Ghandour, R.M.; Alenizi, S.A.; Alraddadi, K.S.; Mirza, A.A.; Al-Adwani, F.H.; Alsakkaf, M.A.; Alzahrani, Y. The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia. Preprints 2022, 2022020338. https://doi.org/10.20944/preprints202202.0338.v2 Wazgar, O.M.; Mirza, A.A.; Almaghrabi, A.A.; Ghandour, R.M.; Alenizi, S.A.; Alraddadi, K.S.; Mirza, A.A.; Al-Adwani, F.H.; Alsakkaf, M.A.; Alzahrani, Y. The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia. Preprints 2022, 2022020338. https://doi.org/10.20944/preprints202202.0338.v2

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MDPI and ACS Style

Wazgar, O.M.; Mirza, A.A.; Almaghrabi, A.A.; Ghandour, R.M.; Alenizi, S.A.; Alraddadi, K.S.; Mirza, A.A.; Al-Adwani, F.H.; Alsakkaf, M.A.; Alzahrani, Y. The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia. Preprints 2022, 2022020338. https://doi.org/10.20944/preprints202202.0338.v2

APA Style

Wazgar, O.M., Mirza, A.A., Almaghrabi, A.A., Ghandour, R.M., Alenizi, S.A., Alraddadi, K.S., Mirza, A.A., Al-Adwani, F.H., Alsakkaf, M.A., & Alzahrani, Y. (2022). The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia. Preprints. https://doi.org/10.20944/preprints202202.0338.v2

Chicago/Turabian Style

Wazgar, O.M., Mohammed A. Alsakkaf and Yahea Alzahrani. 2022 "The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia" Preprints. https://doi.org/10.20944/preprints202202.0338.v2

Abstract

Artificial intelligence is dramatically transforming medical imaging. We assessed the levels of artificial intelligence use among radiology trainees and explored their perceived impact of artifi-cial intelligence on the radiology workflow and radiology profession, in correlation with the perceived ease of use and behavioral intention to use artificial intelligence. This cross-sectional study enrolled radiology trainees from Saudi Arabia, and an online 5-part-structured question-naire was disseminated via online networks to trainee in July 2021. We included 98 participants (51 male; age 27.59±2.02 years). Level of use was low; few used it in routine practice (7%). The impact of artificial intelligence on the radiology workflow was positively perceived in all radi-ology workflow steps (3.64–3.97 out of 5). A positive impact on the radiology profession was more frequently perceived for technical and performance aspects (81%–85%) compared with prestige and legal aspects (64%–71%). Perceived ease of use and behavioral intention to use arti-ficial intelligence was associated with the current professional activity, level of use artificial in-telligence use, and perceived impact on the profession as well as on radiology workflow (p<0.05). Levels of artificial intelligence use in radiology are very low. The perceived positive impact of ar-tificial intelligence on radiology workflow and profession is correlated with an increase in be-havioral intention to use artificial intelligence. Thus, increasing awareness about the favorable impact can improve the behavioral use.

Keywords

Artificial intelligence; Diagnostic imaging; Education; Radiology; Saudi Arabia

Subject

Medicine and Pharmacology, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comments (1)

Comment 1

Received: 23 May 2022
Commenter: Ahmad Mirza
Commenter's Conflict of Interests: Author

Comment: Dear Editor,

We would like to make minor changes in manuscrip, authorship order, and spelling of an author name/affilation.

Thank you for your consideration in advance.
Ahmad Mirza

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