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.
aged ≥18 years;
agreed to obtain lower respiratory specimens for rapid testing of pathogenic bacteria;
all were enrolled by an experienced physician who dynamically determined that the microorganisms were in a colonised or infected state;
signed an informed consent form.
pregnant women;
lactating women;
patients who could not obtain lower respiratory specimens;
Pneumonia patients who admitted to Nanjing Drum Tower Hospital from Jan 1,2025 to Dec 31,2027 and meet the inclusion criteria.
Other
Prospective
establish an artificial neural network model
Other interventionto establish an artificial neural network model for pathogen diagnosis in ICU pneumonia
clinical evaluation of each microbial detected whether in colonization or infection
Two experienced senior physicians are organized to determine whether the microbial are colonized or infected according to clinical values.
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