NCT07113951

Diagnostic Application of AI-ROSE in Severe Pneumonia

Diagnostic Application of Microbiological Fluorescence Rapid On-site Evaluation Combined With Artificial Intelligence in Severe Pneumonia: a Multi-center Prospective Study

• Status: Enrolling By Invitation
• Phase: —
• Study type: Observational
• Enrollment: 100 (estimated)
• Sponsor: The First Affiliated Hospital with Nanjing Medical University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

AI-ROSE is an innovative immunofluorescence staining combined with artificial intelligence image analysis technology that uses a fully automated fluorescence microscope to image pathogens in real time. AI algorithms automatically identify pathogen types (such as bacteria, fungi, etc.) and cellular backgrounds, quickly interpret results, and automatically issue color graphic reports for clinical doctors to take earlier and more accurate targeted treatment for critically ill patients. This study used bronchoalveolar lavage fluid as a biological sample and compared it with traditional examination methods to analyze the diagnostic accuracy and clinical practicality of AI-ROSE in patients with severe pneumonia.

Conditions

• Severe Pneumonia
• Bacterial Infections

Timeline

• Start date: 2025-08-31
• Primary completion: 2026-08-31
• Completion: 2026-12-31
• First posted: 2025-08-11
• Last updated: 2025-08-11

Locations

1 site across 1 country: China