International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 9, Issue 1 (January 2022), Pages: 154-157

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 Short Communication

 Title: Acceptance of artificial intelligence (AI) and machine learning (ML) among radiologists in Saudi Arabia

 Author(s): Abdullah Alamoudi *

 Affiliation(s):

 Department of Radiological Science and Medical Imaging, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-4758-6734

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.01.018

 Abstract:

Artificial intelligence (AI) and machine learning (ML), in the new age of technological progress, provide huge benefits to every area of employment, ranging from IT to health care. To assess the knowledge of, attitude towards, and in-practice use of artificial intelligence and machine learning among radiology residents and faculty radiologists. A web-based questionnaire was distributed via Google Drive to 55 radiologists in the central region of the Kingdom of Saudi Arabia. The questionnaire comprised two sections: three questions regarding demographics and three questions regarding the knowledge, attitudes, and practices (KAP) of AI and ML in radiology. A total of 55 respondents (100%) completed the survey. The majority of respondents claimed familiarity with AI and ML (61.8%). Most radiologists (54.5%) expressed mixed feelings regarding the benefits of AI and ML applications in radiology. Regarding usability, a mixed response was received: 49.1% supported its usability and 45.5% were uncertain of the usability of AI and ML in radiology. Several studies have been conducted which have suggested the usability of AI and ML and their incorporation into the radiology department. The majority of radiologists in Saudi Arabia support the use of AI and ML. Further investigation into the usability of these tools is needed. 

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: AI, ML, Radiologist, Knowledge, Attitudes, Practices

 Article History: Received 4 February 2021, Received in revised form 30 April 2021, Accepted 24 November 2021

 Acknowledgment 

The author acknowledges the support and cooperation of the Department of Radiological Science and Medical Imaging, College of Applied Medical Sciences, Majmaah University, Almajmaah-11953, Kingdom of Saudi Arabia. Also, special thanks to Yara Alsayegh, a talented student at King Abdulaziz and His Companions Foundation, for her contributions.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Alamoudi A (2022). Acceptance of artificial intelligence (AI) and machine learning (ML) among radiologists in Saudi Arabia. International Journal of Advanced and Applied Sciences, 9(1): 154-157

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