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.
Key Words
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References
- Artificial intelligence in medicine: where are we now?.Acad Radiol. 2020; 27: 62-70
- DIGITAL TECHNOLOGY The potential for artificial intelligence in healthcare.Futur Healthc J. 2019; 6: 94-102
- Artificial intelligence in medical imaging.Magn Reson Imaging. 2020;
- Artificial intelligence in radiology.Nat Rev Cancer. 2018;
- Global review of radiography.Radiography. 2013; 19: 90-91
European Society of Radiology. What the increasing presence of AI means for radiographers | AI Blog [Internet]. 2019 [cited 2020 Jun 17]. Available from: https://ai.myesr.org/healthcare/what-the-increasing-presence-of-ai-means-for-radiographers/
Johnson L. The role of the radiographer in computed tomography imaging. 2017;1–9.
- Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.Eur Radiol Exp. 2018; 2
- Artificial intelligence in radiology—-the state of the future.Acad Radiol. 2020; 27: 1-2
- The future of radiology augmented with Artificial Intelligence: A strategy for success.Eur J Radiol. 2018; 102: 152-156
- A study on the perception of medical professionals towards artificial intelligence.Int J Multidiscip Res Dev. 2017; 4: 34-39
- Artificial intelligence in radiology: some ethical considerations for radiologists and algorithm developers.Acad Radiol [Internet]. 2020; 27 (Available from): 127-129
- Attitudes toward artificial intelligence in radiology with learner needs assessment within radiology residency programmes: a national multi-programme survey.Singapore Med J. 2019; (November 2019): 1-22
- Canadian Association of Radiologists White Paper on artificial intelligence in radiology.Can Assoc Radiol J. 2018; 69: 120-135
- Changing the model of radiography practice in the UAE: A snapshot of a profession in transition.Radiography. 2020;
- Occupational dose and radiation protection practice in uae: a retrospective cross-sectional cohort study (2002–2016).Radiat Prot Dosimetry. 2019; 187: 426-437
- Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey.Insights Imaging. 2020; 11: 7-12
Article info
Publication history
Published online: October 29, 2020
Accepted:
September 16,
2020
Received in revised form:
September 13,
2020
Received:
July 20,
2020
Identification
Copyright
© 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.