NCT06661499

An Observational Clinical Study on the Construction of an Artificial Neural Network Model for ICU Pneumonia

An Observational Clinical Study on the Construction of an Artificial Neural Network Model for Rapid Intelligent Diagnosis of Microorganisms in ICU Pneumonia Based on Species-specific Rapid Detection of Pathogenic Bacteria

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 600 (estimated)
• Sponsor: Chinese Medical Association · Network
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

To achieve rapid, intelligent and accurate microbiological diagnosis and treatment for ICU pneumonia, an artificial neural network model for microbiological diagnosis is established, which depends on many clinical cases and machine deep learning from clinical experts' judgements according to species-specific rapid detection of pathogenic bacteria and other clinical parameter variables of patients.

Detailed description

This study is a prospective single-centre observational study, 600 ICU pneumonia patients are expected to be selected as the observation object, and the lower respiratory secretions of patients on d1, d3 and d7 after enrollment are collected for species-specific rapid detection and microbial culture, while the general information of the patients and the clinical information of the corresponding time points on d1, d3 and d7 are collected. Two experienced senior physicians were organized to determine whether the microbial results were colonized or infected, and an artificial neural network model for rapid and intelligent diagnosis of pathogenic microorganisms in ICU pneumonia will be established and validated through multi-dimensional machine learning.

Conditions

• Pneumonia

Interventions

Type	Name	Description
OTHER	establish an artificial neural network model	to establish an artificial neural network model for pathogen diagnosis in ICU pneumonia

Timeline

• Start date: 2025-01-01
• Primary completion: 2027-12-01
• Completion: 2027-12-01
• First posted: 2024-10-28
• Last updated: 2024-10-28

Locations

1 site across 1 country: China