Abstract

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.

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