Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Artificial Intelligence Into Radiology Practice
Abstract
Rationale and objectives This study aimed to investigate radiologists' and radiographers' knowledge, perception, readiness, and challenges regarding Artificial Intelligence (AI) integration into radiology practice.Materials and methods An electronically distributed cross-sectional study was conducted among radiologists and radiographers in the United Arab Emirates. The questionnaire captured the participants' demographics, qualifications, professional experience, and postgraduate training. Their knowledge, perception, organisational readiness, and challenges regarding AI integration into radiology were examined.Results There was a significant lack of knowledge and appreciation of the integration of AI into radiology practice. Organisations are stepping toward building AI implementation strategies. The availability of appropriate training courses is the main challenge for both radiographers and radiologists.Conclusion The excitement of AI implementation into radiology practise was accompanied by a lack of knowledge and effort required to improve the user's appreciation of AI. The knowledge gap requires collaboration between educational institutes and professional bodies to develop structured training programs for radiologists and radiographers.
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From Integration of artificial intelligence into nursing practice (2022) · cites this paper as [9]
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- Authors
- Abuzaid, M. M., Elshami, W., Tekin, H., & Issa, B.
- Affiliations
- University of Sharjah (AE)
- Corresponding author
- Abuzaid, Mohamed M.
- Venue
- Academic Radiology
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 29
- Issue
- 1
- Pages
- 87-94
- ISSN
- 1076-6332 (ISSN-L)
- OpenAlex
- W3097117814
- Cited by
- 120
- References
- 15
- Citations by year
- 2026: 7 · 2025: 21 · 2024: 35 · 2023: 22 · 2022: 24 · 2021: 10
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academic Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in radiology, radiologists, radiographers, AI adoption readiness, organizational readiness, training needs, employee training programs, implementation barriers
- MeSH terms
- Radiologists, Artificial Intelligence, Cross-Sectional Studies, Humans, Radiography, Radiology
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