Developing an AI-Based Clustering Model for Personalized Care in Acute Respiratory Failure Prospective Study at Samsung Seoul Hospital ICU

What this Trial Is About

Researchers are conducting a clinical study to develop an artificial intelligence AI-based clustering model to personalize medicine for patients with acute respiratory failure who are admitted to the intensive care unit ICU. The study aims to confirm patient phenotypes and compare clinical characteristics and prognosis between patients requiring advanced oxygen support and a control group without acute respiratory failure. Participants are divided into two groups those with acute respiratory failure requiring treatment with high flow nasal cannula HFNC, non-invasive ventilation NIV, or mechanical ventilation MV, and a control group who do not need these treatments. Both groups are admitted to the internal medicine ICU at Samsung Seoul Hospital and undergo the same research procedures. During the study, participants clinical information is collected prospectively for analysis. Researchers will assess hospital mortality up to one year from admission, ICU mortality up to six months, and length of stay in both hospital and ICU. The study involves monitoring patients from admission until discharge or death, with follow-up periods varying up to one year. This observational study is sponsored by Samsung Medical Center.

A Clinical Study for Developing Artificial Intelligence(AI)-Based Clustering Model for Personalized Medicine in Acute Respiratory Failure