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Applying Multi-modality Artificial Intelligence for Screening of Tuberculosis in a TB High-burden Large Rural Region in China
In rural area, although radiological equipment including DR and CT are widely available, it lacks of skilled radiologists to interpret radiographs for active and MDR TB. Similarly, microscopy systems are also available but shortage of pathologists is even more serious. Use of multiple modality can improve the diagnosis accuracy but is challenging in rural area. Quick assessment using images can determine the effectiveness and resistance of drug treatment. Artificial intelligence can play very important roles for fast and early screening and diagnosis of TB.