Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries
Abstract Background In 2022, fewer than half of persons with tuberculosis (TB) had access to molecular diagnostic tests for TB due to their high costs. Studies have found that the use of artificial intelligence (AI) software for chest X-ray (CXR) interpretation and sputum specimen pooling can each r...
| Published in: | BMC Global and Public Health |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-08-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44263-024-00081-2 |
