AI-Integrated Platforms for Adaptive Radiology Education

Two AI-driven platforms, RadCase and RadIntel, aim to personalize radiology resident education by curating teaching files from PACS and providing structured feedback on reports based on ACR and RSNA standards, transforming training from static to adaptive.

• RadCase curates institution-specific teaching files from PACS and creates adaptive learning pathways with quizzes tailored to trainee performance.
• RadIntel evaluates radiology reports using ACR and RSNA rubrics, delivering educational feedback and analytics.
• Both systems are designed to improve engagement, standardize feedback, and identify knowledge gaps in a scalable manner.

Automated summary

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