Zhonghua shao shang yu chuang mian xiu fu za zhi · 2025
[Research advances on the application of artificial intelligence technology in the diagnosis and treatment of sepsis patients].
СтатьяОбзорАннотация на английскомНазвание и аннотация: Перевод в очереди
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Zhang Y W, Bai Y L, Zhang X M, Wen Y, Yang Z Y, Lu M Y, Xu X L, Liu Q Q
Аннотация
In recent years, with the rapid advancement of artificial intelligence technology, this technology has been extensively applied in the field of emergency and critical care. Artificial intelligence demonstrates significant potential in clinical decision support, offering novel tools for the auxiliary diagnosis and treatment of sepsis. The sepsis prediction model developed based on artificial intelligence technology can efficiently capture and integrate information from diverse modalities, enhance the accuracy of early sepsis prediction, and establish a prognostic evaluation system, thereby guiding clinical precision treatment and ultimately improving the survival rates of sepsis patients. This paper reviews the research advances on the application of artificial intelligence technology in the early prediction and subtype identification of sepsis, prognosis assessment, and prediction of related organ dysfunction. It aims to provide a reference and inspiration for the further application of this technology in the field of emergency and critical care.