Generic placeholder image

Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Radiologists’ and Radiographers’ Perspectives on Artificial Intelligence in Medical Imaging in Saudi Arabia

Author(s): Ali S. Alyami*, Naif A. Majrashi and Nasser A. Shubayr

Volume 20, 2024

Published on: 29 November, 2023

Article ID: e15734056250970 Pages: 8

DOI: 10.2174/0115734056250970231117111810

open_access

conference banner
Abstract

Introduction: Artificial intelligence (AI) in medical imaging rapidly expands regarding image processing and interpretation. Therefore, the aim was to explore radiographers’ and radiologists’ perceptions and attitudes towards AI use in medical imaging technologies in Saudi Arabia.

Methods: The survey was distributed online, and responses were collected from 173 participants nationwide. Data analysis was performed using SPSS Statistics (version 27).

Results: The participants scored an average of 1.7, 1.6, and 1.8 on a scale of 1–3 for attitudinal perspectives on clinical application and the positive and negative impact of integrating AI technology in diagnostic radiology. Lack of knowledge (43.9%) and perceived cyber threats (37.7%) were the most cited factors hindering AI implementation in Saudi Arabia.

Conclusion: The radiographers and radiologists in this study had a favorable attitude toward AI integration in diagnostic radiology; nonetheless, concerns were raised about data protection, cyber security, AI-related errors, and decision-making challenges.

Keywords: Artificial intelligence, Diagnostic radiology, Radiographer, Radiologists, CT, US.


© 2024 Bentham Science Publishers | Privacy Policy