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

NCT06661499 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2024-10-28

No results posted yet for this study

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.

Conditions

Interventions

OTHER

establish an artificial neural network model

to establish an artificial neural network model for pathogen diagnosis in ICU pneumonia

Sponsors & Collaborators

  • Chinese Medical Association

    lead NETWORK

Principal Investigators

  • Yan Wang, Master · Nanjing Drum Tower Hosptial

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-31
Primary Completion
2027-12-31
Completion
2027-12-31

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 NCT06661499 on ClinicalTrials.gov