人工智能在急诊医学中的应用进展

Advances in the application of artificial intelligence in emergency medicine

摘要:

急诊医学作为应对急性疾病和创伤的医学分支，面临病情复杂性、诊疗效率需求高等挑战。近年人工智能技术的快速发展为急诊诊疗提供了重要支持，其通过深度学习模型和大数据分析，显著提高疾病诊断准确性、改善患者分诊流程、优化资源配置，并助力个性化治疗方案的制订。然而，当前人工智能的临床应用仍面临诸多挑战。未来研究应重点关注跨机构数据共享机制、模型优化及安全性验证，并探索基于人工智能的决策支持系统在急诊环境中的全面应用。

Abstract:

As a medical specialty dedicated to addressing acute diseases and trauma, emergency medicine faces challenges such as the complexity of medical conditions and the high demand for diagnostic efficiency. In recent years, the rapid advancement of artificial intelligence (AI) technology has provided critical support for emergency diagnosis and treatment. Through deep learning models and big data analysis, AI can significantly enhance diagnostic accuracy, improve patient triage processes, optimize resource allocation, and facilitate the development of personalized treatment strategies. However, the clinical application of AI still faces numerous challenges. Future research should focus on establishing cross-institutional data-sharing mechanisms, optimizing models, and ensuring safety validation, while exploring the comprehensive application of AI-based decision support systems in emergency care settings.