TB Screening Implementation Fidelity in DM Patients (94)

This dataset contains 94 annotated chest X-ray images collected by the NIH between 2010 and 2017, used for TB screening implementation fidelity analysis in diabetic patients.

Use Cases

• Analyze TB screening adherence in diabetic populations using annotated chest X-ray images
• Train and validate deep learning models for automated TB detection in comorbid patients
• Evaluate implementation fidelity of TB screening protocols across different healthcare settings

Strengths

• 94 high-quality annotated chest X-ray images with clinical labels
• Data collected by NIH ensuring research-grade quality and ethical compliance
• Specific focus on TB screening in diabetic patients enabling targeted analysis

Limitations

• Small sample size (94 images) may limit statistical power for model training
• Limited demographic and clinical metadata beyond TB/diabetes status
• Dataset freshness unknown as last updated 2026 may not reflect current screening protocols

Provenance

Source

National Institutes of Health (NIH)

Collection Method

Collected as part of TB screening implementation research in diabetic patient cohorts

Time Range

2010-2017

Freshness

Unknown

Geography

United States