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Artificial Intelligence (AI) tools and methodologies can provide crucial contributions not only for medical decision support, but also for medical education. In particular, we operate in the AI in medicine context of Computer-Interpretable Clinical Guidelines, and, within a two-year national project, we are developing GLARE-Edu, a system specifically devoted to medical education. In this paper, we describe some of the main advances we achieved in the first year, concerning teaching and testing learners’ capabilities about clinical decisions. Four facilities are proposed, to address different aspects of clinical decisions.

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AI-Based Medical Education: Coping with Clinical Decisions in GLARE-Edu

  • 会议论文

  • 发表日期：

    2025年

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  • Alessio Bottrighi,
  • Antonio Maconi,
  • Stefano Nera,
  • Luca Piovesan,
  • Erica Raina,
  • Paolo Terenziani

摘要

Artificial Intelligence (AI) tools and methodologies can provide crucial contributions not only for medical decision support, but also for medical education. In particular, we operate in the AI in medicine context of Computer-Interpretable Clinical Guidelines, and, within a two-year national project, we are developing GLARE-Edu, a system specifically devoted to medical education. In this paper, we describe some of the main advances we achieved in the first year, concerning teaching and testing learners’ capabilities about clinical decisions. Four facilities are proposed, to address different aspects of clinical decisions.