Severe pneumonia is a critical disease with high incidence and high mortality in ICU. The condition is complex and heterogeneous, and it is very easy to progress to acute respiratory distress syndrome (ARDS), septic toxic shock and multiple organ dysfunction. It is the focus and difficulty in the field of respiratory critical illness. In their special paper, "Precise Fluid Management and Artificial Intelligence-Assisted Decision-Making for Toxic Shock Secondary to Severe Pneumonia," Xie Lixin et al. pointed out that such critical illnesses are mediated by alveolar barrier damage, vasodilation, microcirculatory disorders, and abnormal cardiopulmonary interaction, and traditional extensive fluid resuscitation has been gradually phased out. At this stage, we emphasize staged precise resuscitation based on fluid reactivity and tolerance, and implement a strategy of pre-vasoactive drugs and negative fluid balance for high-risk ARDS patients. At the same time, artificial intelligence can effectively identify ARDS subphenotypes and fluid intolerance populations, helping to build a multimodal closed-loop diagnosis and treatment system. In his keynote speech "Artificial Intelligence-Driven Early Warning of Severe Pneumonia: Paths and Challenges from Data Integration to Clinical Decision-Making," He Hangyong pointed out that traditional static scores such as CURB-65 and PSI are difficult to capture dynamic changes in the condition. Artificial intelligence multimodal models can achieve early risk prediction of severe pneumonia and promote the transformation of clinical practice from passive treatment to active intervention. However, there are still challenges in translation, such as weak explainability and insufficient generalization capabilities. In their special article, "Early Identification and Protection Strategies for Secondary Lung and Extrapulmonary Organ Injury from Severe Pneumonia," Sun Bing et al. proposed that the main cause of death from severe pneumonia is multiple organ dysfunction caused by systemic inflammation. They systematically elucidated the damage mechanisms of inflammation, immune disorders, endothelial damage, and improper ventilation, summarized the monitoring points and integrated protection plans for subclinical injuries to organs such as the heart, kidneys, and liver, and highlighted the concept of moving the diagnosis and treatment window forward. In their special paper, "Advances in Early Diagnosis of Bedside Pathogenesis in Severe Pneumonia," Wei Chaojie and Cheng Zhenshun reviewed relevant technologies for bedside pathogenesis and believed that traditional culture techniques have low efficiency and limited positive rates. New technologies such as multiplex PCR, metagenome sequencing, and rapid detection of drug resistance genes can significantly shorten diagnosis time. By combining multiomics to distinguish between colonization and infection, they provide a basis for standardizing anti-infection and reducing antibiotic abuse. In their special paper, "ARDS Secondary to Severe Pneumonia: How to Conduct Accurate Individualized Assessment," Zhan Qingyuan et al. integrated respiratory mechanics, imaging, and immunoinflammatory indicators, confirming that parameters such as driving pressure and respiratory drive are closely related to prognosis, providing support for individualized ventilation and precise medication. Xiao Kun et al. further revealed the inflammatory imbalance, abnormal cell polarization and fibrosis remodeling mechanisms of ARDS from a fundamental level in their special paper "Spatiotemporal Evolution of Immune Microenvironment and Injury Repair Disorder Mechanism of Acute Respiratory Distress Syndrome", and summarized new intervention strategies such as stem cells and immune metabolism regulation, providing new ideas for targeted therapy. This series of special topics balances basic mechanisms with clinical practice, comprehensively showcasing the cutting-edge direction of precise and intelligent diagnosis and treatment of severe pneumonia.
