ArticleFrontiers in medicine2026
Application of an AI-enhanced interactive virtual clinical reasoning training system in orthodontic residency training.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Case-based discussion is essential for developing clinical reasoning in orthodontics education, but its traditional format faces limitations in terms of case accessibility, teaching consistency, and scheduling flexibility. To address these challenges, we developed an AI-enhanced interactive virtual clinical reasoning training system and implemented it in our orthodontic curriculum. This study evaluates the educational effectiveness and practical utility of this innovative teaching system. Methods: A controlled trial was conducted with 74 residents who were randomly assigned to either an experimental group ( Results: The experimental group achieved significantly higher case analysis scores and total scores than the control group ( Conclusion: The AI-enhanced interactive virtual clinical reasoning training system significantly improved residents' case analysis performance and learning experience compared to traditional case-based learning. By simulating authentic clinical scenarios derived from real patient cases, the system bridges theoretical knowledge and clinical practice while fostering the development of humanistic competencies. This integrative approach offers a promising pathway for supporting medical students' transition to clinical practice and enhancing case-based education in residency training.
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