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Testing of AI solutions to assess diagnostic accuracy for tuberculosis detection.
Tuberculosis remains a key problem of modern medicine. New approaches for burden overcoming should be proposed. New screening strategies may include artificial intelligence (AI). An AI-based system for chest x-ray analysis and triage ("normal/tuberculosis suspected") have been developed and trained. A special data-set was prepared. There are 238 normal x-rays and 70 x-rays with lung tuberculosis in data-set. The data-set was randomly divided into 2 samples:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sample N1 | (n=140) with ratio "normal: tuberculosis" 50:50 |
| |
| Sample N2 | (n=150) with ratio "normal: tuberculosis" 95:5 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-based x-ray analysis and triage ("normal/tuberculosis suspected") | Diagnostic Test | All included x-rays will be analysed by the AI-based system. Then results will be compared with opinions of 2 experienced radiologists (they make peer-review of all included images independently of each other). |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy metric 1 | Sensitivity | Day 1 upon receipt of data |
| Diagnostic accuracy metric 2 | Specificity | Day 2 upon receipt of data |
| Diagnostic accuracy metric 3 | Positive predictor values | Day 3 upon receipt of data |
| Diagnostic accuracy metric 4 | Negative predictor values | Day 4 upon receipt of data |
| Diagnostic accuracy metric 5 | Likelihood ratio | Day 5 upon receipt of data |
| Diagnostic accuracy metric 6 | Area under the ROC curve | Day 6 upon receipt of data |
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Inclusion Criteria:
Exclusion Criteria:
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308 chest x-ray images selected from the database of Unified Radiological Information Service (URIS) of Moscow
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| Name | Affiliation | Role |
|---|---|---|
| Anton Vladzymyrskyy | Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Research and Practical Center of Medical Radiology, Department of Health Care of Moscow | Moscow | 109029 | Russia |
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|
|
| ID | Term |
|---|---|
| D014397 | Tuberculosis, Pulmonary |
| D014376 | Tuberculosis |
| ID | Term |
|---|---|
| D009164 | Mycobacterium Infections |
| D000193 | Actinomycetales Infections |
| D016908 | Gram-Positive Bacterial Infections |
| D001424 | Bacterial Infections |
| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
| D012141 | Respiratory Tract Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
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