Review underscores curriculum gaps in AI-assisted medical imaging education

While AI is increasingly applied in medical imaging education to boost quality, curricula worldwide remain inconsistent and lack standardised teaching guidelines, causing knowledge gaps. Review recommends faculty development, AI literacy, and standardised frameworks.

• AI integration in medical imaging education is challenged by a shortage of interdisciplinary faculty and a disconnect between curricula and clinical practice.
• Preliminary evidence shows AI can improve teaching outcomes, but no standardised guidelines exist, leading to gaps in the knowledge system.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.