A deep learning model using chest x-ray for identifying tb and ntm-ld patients: a cross-sectional study

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SUMMARY

    A paradoxical trend of decreasing TB and increasing NTM-lung disease (NTM-LD) patients was found in many countries. Timely differentiating between TB and NTM lung disease is crucial because therapeutic regimens differ between these two diseases, and it is necessary to conduct isolation and contact investigations for patients with pulmonary TB. The authors recruited patients with TB, NTMLD, and other presumptive mycobacterial lung diseases, and develop deep neural_network (DNN) models to distinguish them. To investigate the performance of the DNN model in patients with presumptive mycobacterial lung disease, the authors enrolled patients with . . .

     

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