MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education
Large Language Models (LLMs) show promise for medical education, but most existing systems focus on localized interactions such as question answering or single-turn feedback, rather than organizing an entire clinical case into a decision-centered learning trajectory. We introduce \textit{MedGame}, a framework that transforms static clinical cases into structured, executable storytelling games. MedGame uses a dual-engine design: a Medical Narrative Designer synthesizes case-grounded clinical storylines with states and decision nodes, while a Story Director converts them into dependency-aware mu
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- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: zhou”
- FuzzyOverlapping authors or contributors · 62%Zeyi-Lin/HivisionIDPhotos →
“Shared author/contributor keys: lin”
- FuzzyOverlapping authors or contributors · 62%hiyouga/LlamaFactory →
“Shared author/contributor keys: lin”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- LinkedLinked via arxiv author · 85%Qian Wu →
“MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education”
- LinkedLinked via arxiv author · 85%Xinrong Zhou →
“MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education”
- LinkedLinked via arxiv author · 85%Zizhan Ma →
“MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education”
- LinkedLinked via arxiv author · 85%Kai Chen →
“MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education”