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Nontuberculous Mycobacteria

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Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

BioMed research international 33062689
An increasing number of patients infected with nontuberculous mycobacteria (NTM) are observed worldwide. However, it is challenging to identify NTM lung diseases from pulmonary tuberculosis (PTB) due to considerable overlap in classic manifestations ...
Adult Aged Bronchiectasis Female Humans Image Interpretation, Computer-Assisted Lung Machine Learning Male Middle Aged Mycobacterium Infections, Nontuberculous Nontuberculous Mycobacteria Sensitivity and Specificity Tomography, X-Ray Computed Tuberculosis, Pulmonary
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Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework.

European journal of nuclear medicine and molecular imaging 34131803
PURPOSE: To develop and evaluate the effectiveness of a deep learning framework (3D-ResNet) based on CT images to distinguish nontuberculous mycobacterium lung disease (NTM-LD) from Mycobacterium tuberculosis lung disease (MTB-LD).
Deep Learning Diagnosis, Differential Humans Lung Diseases Mycobacterium tuberculosis Nontuberculous Mycobacteria Retrospective Studies Tomography, X-Ray Computed Tuberculosis
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Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease.

Chest 35777447
BACKGROUND: Prognostic prediction of nontuberculous mycobacteria pulmonary disease using a deep learning technique has not been attempted.
Deep Learning Humans Lung Diseases Mycobacterium Infections, Nontuberculous Nontuberculous Mycobacteria Radiography Retrospective Studies
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T-SPOT with CT image analysis based on deep learning for early differential diagnosis of nontuberculous mycobacteria pulmonary disease and pulmonary tuberculosis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 36180035
OBJECTIVES: This study aimed to establish a diagnostic algorithm combining T-SPOT with computed tomography image analysis based on deep learning (DL) for early differential diagnosis of nontuberculous mycobacteria pulmonary disease (NTM-PD) and pulmo...
Deep Learning Diagnosis, Differential Humans Lung Diseases Mycobacterium Infections, Nontuberculous Nontuberculous Mycobacteria Retrospective Studies Tomography, X-Ray Computed Tuberculosis, Pulmonary
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Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from .

Frontiers in public health 40034169
OBJECTIVE: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB.
Adult Aged Algorithms Diagnosis, Differential Female Humans Machine Learning Male Middle Aged Mycobacterium Infections, Nontuberculous Mycobacterium tuberculosis Nontuberculous Mycobacteria Retrospective Studies Tomography, X-Ray Computed Tuberculosis
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