Komasawa Nobuyasu
Community Medicine Education Promotion Office, Faculty of Medicine, Kagawa University Ikenobe, 1750-1, Miki-Cho, Kagawa, 761-0793, Japan.
Department of Medical Education, Faculty of Medicine, Kagawa University, Miki-Cho, Kagawa, 761-0793, Japan.
J Anesth. 2025 Sep 10. doi: 10.1007/s00540-025-03575-x.
Generative artificial intelligence (AI) is rapidly transforming perioperative medicine, particularly anesthesiology, by enabling novel applications, such as real-time data synthesis, individualized risk prediction, and automated documentation. These capabilities enhance clinical decision-making, patient communication, and workflow efficiency in the operating room. In education, generative AI offers immersive simulations and tailored learning experiences that improve both technical skills and professional judgment. However, overreliance without critical appraisal may compromise patient safety and humanistic care. This paper introduces a novel professionalism framework for anesthesiology in the AI era, comprising three pillars: critical AI literacy, human-centered care, and digital accountability. The model supports resident training, certification, and lifelong learning by integrating AI competencies with ethical awareness and reflective practice. By encouraging anesthesiologists to critically engage with AI tools, the framework ensures safe, effective, and compassionate perioperative care.
生成式人工智能（AI）正在迅速改变围手术期医学，尤其是麻醉学，它实现了诸如实时数据合成、个性化风险预测和自动化文档记录等新应用。这些功能提高了手术室中的临床决策、医患沟通和工作流程效率。在教育方面，生成式人工智能提供沉浸式模拟和量身定制的学习体验，提升技术技能和专业判断力。然而，过度依赖而不进行批判性评估可能会危及患者安全和人文关怀。本文介绍了人工智能时代麻醉学的一种新型专业素养框架，它由三个支柱组成：关键的人工智能素养、以患者为中心的护理和数字问责制。该模型通过将人工智能能力与道德意识和反思性实践相结合，支持住院医师培训、认证和终身学习。通过鼓励麻醉医生批判性地使用人工智能工具，该框架确保了安全、有效和富有同情心的围手术期护理。
