| 徐惟捷.人工智能赋能教学变革：在内分泌科急危重症临床实践教学中的应用探索[J].内科急危重症杂志,2026,32(4):405-410 |
| 人工智能赋能教学变革：在内分泌科急危重症临床实践教学中的应用探索 |
|
| |
| DOI：10.11768/nkjwzzzz.202601090054 |
| 中文关键词: 人工智能 临床实践教学 内分泌科 急危重症 医学教育 |
| 英文关键词: Artificial intelligence Clinical practice teaching Endocrinology department Intensive medicine Medical education |
| 基金项目:华中科技大学同济医学院第二临床学院课程思政教学研究基金（TJSZ2024005），湖北省自然科学基金（2024AFB961） |
|
| 摘要点击次数: 59 |
| 全文下载次数: 35 |
| 中文摘要: |
| 摘要 人工智能（AI）正以前所未有的深度和广度渗透至医学教育的各个层面，为传统的教学模式带来重大变革。内分泌科急危重症临床教学，因患者病情瞬息万变、决策压力巨大、多学科知识交融紧密的特点，一直是医学实践教育中的重点与难点。传统教学方法常受限于真实病例稀缺、教学风险高、标准化程度低以及个性化指导不足等困境。本文通过剖析该领域教学的内在特性与现实挑战，从虚拟仿真训练、个性化自适应学习、智能临床决策支持、教学资源智能化生成与整合以及全过程学习评估与反馈等五个核心路径，阐述AI的具体应用场景与实施方法。同时，针对AI技术应用进程中伴随的挑战，包括医学知识库的准确性与动态更新、患者数据安全与隐私伦理、人工智能可能引发的人文关怀缺失与学生思维惰性等问题，提出了以“教师主导、AI辅助”为原则的“虚实融合临床胜任力训练模型”。本文旨在系统探讨AI技术如何赋能内分泌科急危重症的临床实践教学，构建新型教学模式。 |
| 英文摘要: |
| Abstract Artificial intelligence (AI) is penetrating every level of medical education with unprecedented depth and breadth, bringing significant transformation to traditional teaching models. Clinical education in endocrinology emergencies and critical care has long been a key yet challenging area in medical training due to the rapidly changing patient conditions, high decision-making pressure, and the close integration of multidisciplinary knowledge. Conventional teaching methods are often constrained by limited availability of real clinical cases, high teaching risks, low standardization, and insufficient personalized guidance. This article analyzes the intrinsic characteristics and practical challenges of teaching in this field, and outlines specific AI applications and implementation strategies through five core pathways: virtual simulation training, personalized adaptive learning, intelligent clinical decision support, intelligent generation and integration of teaching resources, and comprehensive learning assessment and feedback. Addressing the challenges associated with AI adoption—including accuracy and dynamic updating of medical knowledge bases, patient data security and privacy ethics, potential erosion of humanistic care, and student cognitive passivity—the article proposes a "virtual-real integrated clinical competency training model" guided by the principle of "teacher-led, AI-assisted." The aim is to systematically explore how AI can empower clinical education in endocrinology emergencies and critical care, and to establish a new model for effective teaching. |
|
查看全文
HTML全文 |
|
| 关闭 |
