Tuberculosis
Conditions
Interventions
Gold Standard:Clinical comprehensive diagnostic criteria. Combined with pathogenic examination (such as sputum smear, sputum culture, molecular biological detection), imaging follow-up, clinical effic
Index test:1. Brain-like artificial intelligence chest X-ray screening technology: Using the deep learning model developed in this study, chest X-ray is automatically analyzed and scored abnormally.
2
Sponsors
Huzhou Center Hospital
Eligibility
Sex/Gender
All
Age
18 Years to 80 Years
Inclusion criteria
Inclusion criteria: 1. community personnel who seek medical treatment due to symptoms, take the initiative to screen and have a health check-up. 2. Age > 18 years old, =24 kg/m2. 3. Complete IGRA detection. 4. Tuberculosis screening has been carried out.
Exclusion criteria
Exclusion criteria: 1. Age 80 years old, BMI< 24 kg/m2. 2. IGRA detection was not completed. 3. No tuberculosis investigation was conducted.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Discriminatory efficacy of AI model for active PTB (AUC);Sensitivity and Specificity of AI-based CXR screening; | — |
Secondary
| Measure | Time frame |
|---|---|
| Comparison of diagnostic performance among different screening strategies;Data anonymization and privacy breach incidents; | — |
Countries
China
Contacts
Public ContactTong Yong
Huzhou Center Hospital
Outcome results
None listed