Artificial Intelligence-Based Evaluation of Chest X-Rays in the Diagnosis of Ventilator-Associated Pneumonia in the Intensive Care Unit: A Retrospective Comparative Study
Sponsor: Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
Trial Details
| Condition | Ventilator-Associated Pneumonia, Intensive Care Unit (ICU), Pneumonia, Bacterial, Artificial Intelligence (AI), Radiography, Thoracic |
| Status | Completed |
| Participants | 119 |
| Est. Completion | 20 Mar 2026 |
| Last Updated | 3 Apr 2026 |
Primary Outcome
Change in Chester AI-derived Infiltration and Pneumonia Probability Scores Between Pre-diagnosis and VAP Diagnosis Chest X-rays
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Adult patients (≥18 years) * Admission to the anesthesia intensive care unit * Requirement of invasive mechanical ventilation for at least 48 hours * Clinical diagnosis of ventilator-associated pneumonia (VAP) based on institutional criteria * Availability of at least one chest X-ray prior to VAP diagnosis and one chest X-ray at the time of diagnosis * Availability of digital chest radiographs in the PACS system suitable for analysis Exclusion Criteria: * Age \<18 years * Absence of accessible digital chest radiographs * Chest radiographs with severe technical limitations preventing evaluation * Chest radiographs that could not be processed by the AI system (no score generated) * Presence of extensive pre-existing infiltrative lung disease preventing reliable assessment of new infiltrates * Missing key clinical data (e.g., VAP diagnosis date, mechanical ventilation duration)
Trial Sites
Countries
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