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AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey
Wuni Abdul-Razak1, Mawuli Deku2, Eric Akpabli3
1Department of Radiology and Medical Imaging, Fatima College of Health Sciences, Al Ain, UAE, fchs.ac.ae.
Artificial intelligence (AI) is increasingly integrated into medical imaging (MI) curricula nationwide. While over half of respondents reported AI incorporation, awareness varied significantly across institutions, highlighting a need for standardized training.
Area of Science:
- Medical Imaging Education
- Artificial Intelligence in Healthcare
- Curriculum Development
Background:
- International bodies advocate for AI integration in medical imaging (MI) education.
- Understanding the current landscape of AI in MI curricula is essential for future healthcare professionals.
Purpose of the Study:
- To explore the nationwide perspective on Artificial Intelligence (AI) incorporation within the Medical Imaging (MI) curriculum.
- To assess the perceived awareness and impact of AI in MI education and service delivery.
Main Methods:
- A quantitative, cross-sectional survey was conducted using a Google Forms questionnaire.
- Data analysis included descriptive statistics and chi-square tests using SPSS v.26 and Excel 2019.
Main Results:
- 200 respondents participated, primarily MI students.
- 62.5% reported AI incorporation in the curriculum, with 44% receiving AI instruction.
- A significant correlation (p=0.001) exists between institutional affiliation and perceived AI incorporation in MI.
Conclusions:
- AI is being incorporated into MI curricula, but awareness levels differ significantly among institutions.
- There is a need to prioritize faculty training and dedicated AI modules to equip graduates for AI adoption in practice.
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