AIMC Topic: Nontuberculous Mycobacteria

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Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from .

Frontiers in public health Feb 17, 2025
OBJECTIVE: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB.
Humans Middle Aged Diagnosis, Differential Male Mycobacterium tuberculosis Nontuberculous Mycobacteria Female Mycobacterium Infections, Nontuberculous Tomography, X-Ray Computed Tuberculosis Adult Algorithms Aged Machine Learning 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 Sep 28, 2022
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...
Diagnosis, Differential Lung Diseases Deep Learning Nontuberculous Mycobacteria Mycobacterium Infections, Nontuberculous Tuberculosis, Pulmonary Humans Tomography, X-Ray Computed Retrospective Studies
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Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease.

Chest Jun 28, 2022
BACKGROUND: Prognostic prediction of nontuberculous mycobacteria pulmonary disease using a deep learning technique has not been attempted.
Nontuberculous Mycobacteria Lung Diseases Mycobacterium Infections, Nontuberculous Radiography Humans Deep Learning Retrospective Studies
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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 Jun 16, 2021
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).
Tomography, X-Ray Computed Retrospective Studies Diagnosis, Differential Deep Learning Humans Nontuberculous Mycobacteria Tuberculosis Lung Diseases Mycobacterium tuberculosis
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Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

BioMed research international Sep 29, 2020
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 ...
Male Middle Aged Nontuberculous Mycobacteria Sensitivity and Specificity Bronchiectasis Machine Learning Female Mycobacterium Infections, Nontuberculous Aged Adult Tuberculosis, Pulmonary Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Lung Humans
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