AI-ECHO Hemodynamic Phenotyping in Septic Shock

This is a prospective, single-center, observational cohort study. The purpose of this study is to investigate the hemodynamic heterogeneity and dynamic evolution patterns in patients with septic shock, using point-of-care echocardiography combined with artificial intelligence technology. The study will enroll 240 adult patients with septic shock admitted to the ICU. Standardized cardiac ultrasound examinations will be performed at multiple time points, and multi-dimensional clinical-echocardiographic data will be collected. An AI-based automatic echocardiographic analysis system will be developed, and unsupervised machine learning will be applied to identify distinct hemodynamic subtypes and their dynamic evolution trajectories. This study aims to provide innovative solutions for individualized and precise hemodynamic management of septic shock.

Inclusion Criteria: 1. Age ≥18 years. 2. Confirmed diagnosis of septic shock according to the Sepsis-3 criteria. 3. Expected ICU stay of at least 72 hours. 4. Written informed consent obtained from the patient or legally authorized representative. Exclusion Criteria: Patients meeting any of the following criteria will be excluded: 1. Severe chronic heart disease, such as severe valvular heart disease or chronic heart failure with left ventricular ejection fraction (LVEF) \