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Diagnostic Application of AI-ROSE in Severe Pneumonia

NCT07113951 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-08-11

No results posted yet for this study

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

Sponsors & Collaborators

  • The First Affiliated Hospital with Nanjing Medical University

    lead OTHER

Principal Investigators

  • Wenkui Sun · First Affiliated Hospital of Nanjing Medical University Nanjing

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-08-31
Primary Completion
2026-08-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07113951 on ClinicalTrials.gov