[Pay attention to the application value of artificial intelligence in the diagnosis, treatment and analysis of sepsis].

Abstract

In critical care medicine, sepsis management represents a critical barrier to improving clinical outcomes, primarily due to the disease's profound heterogeneity and the current inability to optimally identify patient subgroups benefiting from personalized therapies. Recent advances in Artificial Intelligence (AI) offer promising solutions to this challenge. This article reviews the current landscape of sepsis diagnosis and treatment, analyzes existing AI-enabled paradigms and their limitations, and explores feasible strategies and future directions for AI-enhanced sepsis care. By elucidating the nature of sepsis heterogeneity and meaningfully integrating AI tools into critical care workflows, we aim to develop and deploy a "universal" AI-powered predictive model aligned with China's critical care characteristics. This approach seeks to advance precision medicine for sepsis, ultimately addressing this significant global health burden.