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通过人工智能对医疗工作中的重要组成部分危重症大数据的智能算法及应用，探讨重症医学临床实时预警与人工智能相结合的价值。利用人工智能对医疗工作中危重症大量数据集的学习、计算和分析来模拟人类思维，对重症医学临床产生的大量监测治疗数据进行整合，分析人工智能在医疗工作中危重症预警的应用必要性、可行性、相关性、数据学习、应用架构等，推动医疗工作中危重症实时预警在临床医学的率先应用。医疗工作中重症医学的发展需要整合大数据和人工智能，通过实时预警、精准、科学的医疗数据智能化应用，更有效地降低危重症诊疗过程中危及生命的不确定性问题，提高危重症患者的治愈率。人工智能技术与重症医学大数据的完美结合，能为医疗工作中危重症实时预警在临床医学的率先应用提供有利的保障。“,”Through the big data intelligent algorithm and application of artificial intelligence in critically ill patients, the value of the combination of clinical real-time warning and artificial intelligence in critical care medicine was explored. Artificial intelligence was used to simulate human thinking by studying, calculating, and analyzing a large amount of critical illness data in the medical work, and integrate a large number of clinical monitoring and treatment data generated in critical care medicine. The necessity, feasibility, relevance, data learning and application architecture of the application of artificial intelligence in the early warning of critical illness in medical work were analyzed, thus to promote the pioneering application of real-time warning of critical illness in clinical medicine. The development of critical care medicine in medical work requires the integration of big data and artificial intelligence. Through real-time early warning, accurate and scientific intelligent application of medical data, the life threatening uncertainties in the diagnosis and treatment of critically ill patients can be more effectively reduced and the success rate of the treatment of critically ill patients can be improved. The perfect combination of artificial intelligence technology and big data of critical care medicine can provide a favorable guarantee for the pioneering application of real-time warning of critical care medicine in clinical work.