关键词： Artificial intelligence   Compliance   Hand hygiene   Hospital infection  

摘要： Hand hygiene is the most basic and simplest intervention measure for preventing hospital infections. To improve the hand hygiene compliance of medical staff, various new technologies, methods, and models have been adopted in different countries, and artificial intelligence technology has also been gradually introduced into this field. This paper reviews the research progress of existing artificial intelligence technologies in the hand hygiene compliance of medical staff, aiming to provide reference methods for medical institutions in China to improve the hand hygiene compliance of medical staff, thereby reducing the hospital infection rate and ensuring the safety of medical quality. © 2025 Editorial Office of Modern Preventive Medicine. All rights reserved.

关键词： Artificial intelligence   Closed-loop insulin pump   Continuous glucose monitoring   Diabetes  

摘要： In recent years, the rapid development of artificial intelligence (AI) has brought innovative opportunities to diabetes management, with significant application potential in various aspects such as prevention, screening, diagnosis, and treatment of diabetes. Through big data analysis, AI can achieve precise diabetes sub-typing and further promote personalized treatment. In terms of complication screening, AI can efficiently identify diabetic retinopathy, aiding in early diagnosis and treatment of complications. Combined with continuous glucose monitoring technology, AI can remotely assist in diabetes management through various novel glucose monitoring metrics and algorithms. The AI-based closed-loop insulin pump can automatically adjust insulin infusion, increasing glucose time in range and reducing the risk of hypoglycemia. However, this technological wave is also accompanied by multiple challenges: data privacy disputes, insufficient algorithm interpretability, and delays in clinical validation, which hinder its widespread clinical applications. While AI demonstrates high efficiency in supporting clinical decision-making, complex case management and psychological care should still be dominated by physicians. In the future, the "physician+AI" collaborative pattern will combine humanistic care with technology to optimize diabetes management together. © 2025 Chinese Medical Journals Publishing House ***. All rights reserved.

关键词： Artificial Intelligence   Educational Technology   Implementation Pathway   Nursing Education  

摘要： The integration of Artificial Intelligence（AI） into nursing education represents a profound transforma-tion shift from technological advancement to educational paradigms reconfiguration. Through intelligent tools such as multimodal interaction systems，knowledge graph construction，and virtual simulation platforms，AI is fundamentally reconstructing the nursing education ecosystem. This revolution enhances teaching efficiency while enabling comprehensive upgrades in personalized learning and practical skill development. Grounded in the core concepts of AI，this paper analyzes prevalent AI tools and their specific applications in nursing education contexts. It systematically explores the technical logic of AI empowerment，current challenges，and future trends. By integrating academic rigor with practical applicability，the study aims to proposes a Chinese solution for the digital transformation of nursing education. Copyright 2025 by the Chinese Nursing Association.

关键词： Artificial intelligence   Bachelor   Education   Nursing   Nursing psychology  

摘要： Objective To explore the application effects of AI-assisted teaching in the undergraduate Nursing Psychology *** During the second semester of the 2023—2024 academic year，two parallel classes of the 2022 nursing undergraduate cohort were selected using purposive sampling. The two classes were randomly assigned to the experimental group（n=80） and the control group（n=85） using a coin toss. The experimental group received AI-assisted teaching in the Nursing Psychology course，while the control group received traditional teaching methods. After the course，the differences in the scenario simulation assessment scores between the two groups were compared. Qualitative text analysis was used to analyze students’ experiences and suggestions regarding AI-assisted *** A statistically significant difference was observed between the experimental and control groups in terms of scenario simulation assessment scores （P<0.001）. From the text data reports of the experimental group，the following four themes were extracted：AI-assisted teaching broadens thinking and perspectives，AI-assisted teaching enhances critical thinking abilities，AI-assisted teaching increases teaching interaction and classroom engagement，and AI-assisted teaching stimulates self-identified *** The application of AI-assisted teaching in the undergraduate Nursing Psychology course is feasible. It effectively enhances nursing students’ empathy and critical thinking abilities，helps develop higher-level skills，promotes the development of clinical thinking in nursing，and empowers students to leverage their strengths. Copyright 2025 by the Chinese Nursing Association.