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

A Clinical Study for Developing AI-based Clustering Model for Personalized Medicine in Acute Respiratory Failure: Single Center, Prospective Cohort Study

The investigators will prospectively collect clinical information to develop a clustering analysis model and confirm phenotype for patients with acute respiratory failure who admit to the intensive care unit and require oxygen supply beyond a high flow nasal cannula, and a control group without acute respiratory failure. and clinical characteristics and prognosis will be compared.

# Inclusion Criteria:

- Acute Respiratory Failure group

Among patients admitted to the internal medicine intensive care unit at Samsung Seoul Hospital, if all of the following conditions are met:

1) Age 18 or older 2) Patients who require treatment with high flow nasal cannula (HFNC), non-invasive ventilation (NIV (BIPAP or CPAP)), or mechanical ventilation (MV) due to acute respiratory failure.

- control group For comparative analysis, among patients admitted to the internal medicine intensive care unit at Samsung Seoul Hospital who meet all of the following conditions, they are registered as a control group with the consent of the subjects and undergo the same research procedure.

1. Age 18 or older

2. Patients who do not require high flow nasal cannula (HFNC), non-invasive ventilation (NIV (BIPAP or CPAP)), or mechanical ventilation (MV) treatment

   • Exclusion Criteria:

If any of the following criteria applies, participants will not be permitted to participate in this clinical trial.

1. Patients 48 hours after oxygen treatment (HFNC, NIV (BIPAP or CPAP), MV)
2. Patients transferred from another hospital
3. Patients with limitations in treatment