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This multicenter, prospective, observational study aims to address two primary objectives. The first objective is to demonstrate that hospital-acquired pneumonia (nosocomial pneumonia) following cardiac surgery can be predicted using artificial intelligence (AI), and to develop a personalized risk calculator for its development. The second objective is to demonstrate that hospital-acquired pneumonia can serve as a risk factor for a 1-year composite cardiovascular and pulmonary outcome after cardiac surgery, and to develop a personalized risk calculator for this composite outcome. The composite outcome will include the occurrence of any of the following events: * Respiratory death * Hospitalization for respiratory diseases * Development of oxygen dependence * New-onset asthma, COPD, or interstitial lung disease * Initiation or intensification of bronchodilator or corticosteroid therap
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