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Published on: July 11, 2025
Recent advances in artificial intelligence-assisted medical imaging education
Zhu Zhu1, Tong Zhang1, Liping Deng1
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Frontiers in Medicine
|July 17, 2026
Summary
Artificial intelligence (AI) is transforming medical imaging education, but challenges like inconsistent curricula and faculty shortages persist. Recommendations focus on faculty development and standardized frameworks to improve AI integration in training future professionals.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Education
Background:
- Artificial intelligence (AI) integration is a key trend in healthcare and medical imaging.
- Medical schools are increasingly incorporating AI into medical imaging education.
Purpose of the Study:
- To review advances in AI in medical imaging education.
- To provide recommendations for curriculum design and faculty development.
Main Methods:
- Literature review of core databases (PubMed, Web of Science).
- Supplemented by case studies.
Main Results:
- AI enhances medical imaging education quality.
- Inconsistent curriculum design and technology integration noted globally.
- Lack of standardized guidelines creates knowledge gaps.
Conclusions:
- AI offers advantages but faces challenges like faculty shortages and curriculum-clinical disconnects.
- Strategies include faculty development, pedagogical transformation, and AI literacy.
- Future research should focus on AI adaptability in training.
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