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Radiographers' knowledge, attitudes and expectations of artificial intelligence in medical imaging
S Coakley1, R Young1, N Moore1
1Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Ireland.
Radiography (London, England : 1995)
|July 15, 2022
Summary
European radiographers show positive attitudes towards artificial intelligence (AI) in medical imaging but lack understanding and education. Increased AI training is crucial for workforce engagement with this transformative technology.
Area of Science:
- Medical Imaging
- Radiography
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly integrated into medical imaging.
- Radiographers need to adapt to these advancements.
- Understanding current perceptions and educational needs is vital for successful AI adoption.
Purpose of the Study:
- To investigate radiographers' perceptions, knowledge, and expectations of AI in medical imaging.
- To assess the current state of AI education within the radiography community.
Main Methods:
- A cross-sectional online quantitative study was conducted.
- Targeted radiographers across Europe.
- Data collected on demographics, AI understanding, expectations, and education.
Main Results:
- 96 valid responses were collected.
- 64% correctly defined AI, but only 37% understood the difference between AI, machine learning, and deep learning.
- 83% were excited about AI, but 29% felt apprehensive.
- Only 8% received AI education during pre-registration.
Conclusions:
- Positive attitudes towards AI implementation exist among radiographers.
- Apprehension may stem from a lack of technical understanding and training.
- Enhanced AI educational programs are necessary to boost workforce engagement.
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