Application progress of artificial intelligence in acute respiratory distress syndrome management

doi:10.3877/cma.j.issn.2096-1537.2024.01.011

Abstract

Abstract:

In recent years, artificial intelligence was increasingly applied in clinical medicine research. The integration of artificial intelligence with clinical medicine brings more recognition to clinicians, and being an important tool to promote rapid development in various medical fields. Huge amount of data and information in intensive care unit makes it ideal to apply artificial intelligence in ICU. AI aided diagnosis and interventions still need to be investigated and confirmed. The application of artificial intelligence in acute respiratory distress syndrome patients will be a way to go. This review explores the progress of artificial intelligence application in acute respiratory distress syndrome in 7 aspects: artificial intelligence application in intensive care, ARDS clinical phenotype identification, ARDS severity evaluation, quantitative imaging, quantitative bedside lung ultrasound evaluation, respiratory mechanics monitoring, mechanical ventilation strategy, candidate medication screening and so on.

Key words: Acute respiratory distress syndrome, Artificial intelligence, Machine learning

Mengshi Lu, Wei Liu, Jiawei Ma, Dandan Ji, Xuan Jia, Xinping Zhan, Liang Luo. Application progress of artificial intelligence in acute respiratory distress syndrome management[J]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2024, 10(01): 66-71.

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