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.
Tomography, X-Ray Computed Female Algorithms Retrospective Studies Male Middle Aged Diagnosis, Differential Aged Adult Humans Machine Learning Mycobacterium tuberculosis Nontuberculous Mycobacteria Tuberculosis Mycobacterium Infections, Nontuberculous
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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...
Mycobacterium Infections, Nontuberculous Nontuberculous Mycobacteria Lung Diseases Tuberculosis, Pulmonary Deep Learning Diagnosis, Differential Retrospective Studies Tomography, X-Ray Computed Humans
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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.
Humans Mycobacterium Infections, Nontuberculous Radiography Nontuberculous Mycobacteria Retrospective Studies Lung Diseases Deep Learning
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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).
Tuberculosis Mycobacterium tuberculosis Nontuberculous Mycobacteria Diagnosis, Differential Humans Tomography, X-Ray Computed Lung Diseases Retrospective Studies Deep Learning
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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 ...
Tuberculosis, Pulmonary Mycobacterium Infections, Nontuberculous Aged Middle Aged Nontuberculous Mycobacteria Adult Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Lung Sensitivity and Specificity Humans Female Bronchiectasis Male Machine Learning
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Multiomics and Machine Learning Identify Immunometabolic Biomarkers for Active Tuberculosis Diagnosis Against Nontuberculous Mycobacteria and Latent Tuberculosis Infection.

Journal of proteome research Aug 1, 2025
This study utilized multiomics combined with a comprehensive machine learning-based predictive modeling approach to identify, validate, and prioritize circulating immunometabolic biomarkers in distinguishing tuberculosis (TB) from nontuberculous myco...
Humans Machine Learning Biomarkers Mycobacterium Infections, Nontuberculous Female Multiomics Middle Aged Latent Tuberculosis Tuberculosis Adult ROC Curve Nontuberculous Mycobacteria Male
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