Lung infection
Conditions
Interventions
AI-assisted diagnosis group:Using AI to assist in the classification of types of lung inflammation
Conventional Diagnosis Group:It is standard practice for a doctor to determine the type of lung inflammation
Sponsors
The First Affiliated Hospital of Soochow University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Patients aged 18 years or older; 2. Patients with a clinical suspicion or provisional diagnosis of pulmonary infection; 3. Patients with a clinical suspicion or provisional diagnosis of a malignant haematological disorder, including leukaemia, lymphoma, multiple myeloma, etc; 4. Patients who underwent a chest CT scan during the study period, and whose baseline chest CT scan revealed new or progressive pulmonary lesions such as oedema, consolidation, nodules or halo signs, consistent with the radiological features of pulmonary infection; 5.Microbiological or pathological confirmation must be obtained after the baseline CT scan.
Exclusion criteria
Exclusion criteria: 1. Patients with severe cardiopulmonary insufficiency, chest deformities or other conditions that may affect the quality of CT images; 2. Pregnant or breastfeeding women (where the CT scan may affect the foetus or infant) 3. Patients concurrently suffering from other active pulmonary diseases (such as active tuberculosis, obstructive pneumonia caused by lung cancer, or acute pulmonary embolism), the radiological manifestations of which may significantly interfere with the assessment and diagnosis of fungal lesions in the lungs; 4. Patients who are unable to provide complete clinical data or who refuse to cooperate with the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 100 day all-cause mortality; | — |
Secondary
| Measure | Time frame |
|---|---|
| Rate of severe cases conversion;Changes in pneumonia-related clinical scores;AI Diagnostic Performance;Changes in hematological-related indicators; | — |
Countries
China
Contacts
Public ContactLi Yonggang
The First Affiliated Hospital of Soochow University
Outcome results
None listed