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Evaluating AI-generated examination papers in periodontology: a comparative study with human-designed counterparts
2
Zitationen
3
Autoren
2025
Jahr
Abstract
While AI-generated examinations improve content breadth and efficiency, their limited clinical contextualization and discrimination constrain their use in high-stakes applications. A hybrid "AI-human collaborative generation" framework, integrating medical knowledge graphs for contextual optimization, is proposed to balance automation with assessment precision. This study provides empirical evidence for the role of AI in enhancing dental education assessment systems.
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