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NCT07509697
Artificial Intelligence-Based Evaluation of Chest X-Rays in Ventilator-Associated Pneumonia
trial in Ventilator-Associated Pneumonia in 119 participants. Completed in 25 March 2026.
20 March 2026
Quick facts
| Lead sponsor | Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 119 |
| Start date | 1 March 2026 |
| Primary completion | 20 March 2026 |
| Estimated completion | 25 March 2026 |
| Sites | 1 location across Turkey (Türkiye) |
Conditions studied
- Ventilator-Associated Pneumonia — all drugs for Ventilator-Associated Pneumonia →
- Intensive Care Unit (ICU) — all drugs for Intensive Care Unit (ICU) →
- Pneumonia, Bacterial — all drugs for Pneumonia, Bacterial →
- Artificial Intelligence (AI) — all drugs for Artificial Intelligence (AI) →
Sponsor
Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
Who can join
18 and older, any sex, with Ventilator-Associated Pneumonia or Intensive Care Unit (ICU). Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Ventilator-associated pneumonia (VAP) is a common and serious infection in critically ill patients receiving mechanical ventilation in intensive care units (ICUs). One of the key diagnostic criteria for VAP is the presence of a new or progressive infiltrate on chest X-ray; however, interpretation of bedside chest radiographs is often challenging and subject to inter-observer variability. This retrospective observational study aims to evaluate the role of artificial intelligence (AI) in the assessment of chest X-rays in patients with VAP. Chest radiographs obtained before and at the time of VAP diagnosis will be analyzed using a deep learning-based AI tool (Chester the AI Radiology Assistant), and changes in "infiltration" and "pneumonia" probability scores will be assessed. AI-based findings will be compared with clinical decisions and independent radiologist evaluations regarding the presence of new infiltrates. The study aims to determine the level of agreement between these approaches and to explore whether AI-based analysis can support a more objective and standardized interpretation of chest radiographs in the diagnosis of VAP.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT07509697
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Related trials
Other recruiting trials for Ventilator-Associated Pneumonia
Currently open trials in the same condition.
- NCT07013032 — Diagnostic and Prognostic Value of Reticulated Platelet Fraction in Ventilator-Associated Pneumonia (REPLAY-VAP) · recruiting
Other Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital trials
Trials by the same sponsor.
- NCT07440095 — Mortality Predictors in Patients 80+ After Major Abdominal Surgery: Role of Frailty and Physiological Reserve · not yet recruiting
- NCT07394816 — Can Ultrasound-Guided Fascial Plane Blocks Reduce Postoperative Pulmonary Complications After Major Abdominal Surgery? · not yet recruiting
- NCT07392086 — Comparison of FCV and VCV in One-Lung Ventilation · recruiting
- NCT07325617 — Tracking AI/LLM Literacy and Knowledge in Urology Outpatients (TALK-U) · not yet recruiting
- NCT07481851 — Skin Conductance for Predicting Spinal Anesthesia-Induced Hypotension in Geriatric Urologic Oncology Patients · recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07509697 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
- Last refreshed: 3 April 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07509697.
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