A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study.

Chia-Jung LiuCheng Che TsaiLu-Cheng KuoPo-Chih KuoMeng-Rui LeeJann-Yuan WangJen-Chung KoJin-Yuan ShihHao-Chien WangChong-Jen Yu

Published in: Insights into imaging (2023)

DNN model had satisfactory performance and a higher accuracy than pulmonologists on classifying patients with presumptive mycobacterial lung diseases. DNN model could be a complementary first-line screening tool.

Keyphrases

deep learning
mycobacterium tuberculosis
end stage renal disease
chronic kidney disease
ejection fraction
newly diagnosed
physical activity
high resolution
computed tomography
magnetic resonance
artificial intelligence
mass spectrometry
convolutional neural network
patient reported outcomes