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Empowering Radiographers: A Call for Integrated AI Training in University Curricula
Mohammad A Rawashdeh1,2, Sara Almazrouei1, Maha Zaitoun1,2
1Faculty of Health Sciences, Gulf Medical University, Ajman, UAE.
International Journal of Biomedical Imaging
|March 18, 2024
Summary
Radiographers show a positive attitude towards artificial intelligence (AI) in medical imaging, with most supporting its integration into radiography education and training programs. Familiarity with AI is currently low among surveyed professionals.
Area of Science:
- Medical Imaging
- Radiography
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is rapidly advancing in medical imaging.
- Investigating radiographers' perceptions and knowledge of AI is crucial.
Purpose of the Study:
- To assess radiographers' perceptions and knowledge of artificial intelligence (AI) in medical imaging.
- To explore the potential integration of AI into radiography education and practice.
Main Methods:
- An online survey with 20 questions was distributed to radiographers.
- The survey covered demographics, AI knowledge, training preferences, and perceptions of AI in radiology.
- Descriptive and logistic regression analyses were employed.
Main Results:
- Only 52% of respondents reported good familiarity with AI.
- 74% considered AI useful in medicine, and 98% believed it should be in university education.
- Male gender and 23-27 years of experience were associated with higher AI familiarity.
Conclusions:
- Radiographers generally have a favorable attitude towards AI in radiology.
- There is strong support for integrating AI into radiography curricula.
- AI training programs are recommended for radiographers to prepare for future AI tools.
