AIMC Topic: Tuberculosis, Pulmonary

Clear Filters Showing 81 to 87 of 87 articles

[A preliminary investigation on a deep learning convolutional neural networks based pulmonary tuberculosis CT diagnostic model].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases May 12, 2021
To evaluate the clinical value of a pulmonary tuberculosis CT diagnostic model based on deep learning convolutional neural networks (CNN). From March 2017 to March 2018,a total of 1 764 patients with positive sputum for tuberculous bacterium and ha...
Humans Male Deep Learning Tuberculosis, Pulmonary Thorax Neural Networks, Computer Tomography, X-Ray Computed Female
View on PubMed DOI

Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.

Journal of X-ray science and technology Jan 1, 2020
OBJECTIVE: Diagnosis of tuberculosis (TB) in multi-slice spiral computed tomography (CT) images is a difficult task in many TB prevalent locations in which experienced radiologists are lacking. To address this difficulty, we develop an automated dete...
Young Adult Radiographic Image Interpretation, Computer-Assisted Adult Male Tuberculosis, Pulmonary Female Middle Aged Humans Aged Adolescent Lung Algorithms Aged, 80 and over Child, Preschool Deep Learning Tomography, X-Ray Computed Child
View on PubMed DOI

Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Aug 16, 2019
BACKGROUND: Detection of active pulmonary tuberculosis on chest radiographs (CRs) is critical for the diagnosis and screening of tuberculosis. An automated system may help streamline the tuberculosis screening process and improve diagnostic performan...
Adult Sensitivity and Specificity Male Algorithms Female Aged Radiography Tuberculosis, Pulmonary Automation Thorax Middle Aged Deep Learning ROC Curve Humans
View on PubMed DOI

Levofloxacin Pharmacokinetics/Pharmacodynamics, Dosing, Susceptibility Breakpoints, and Artificial Intelligence in the Treatment of Multidrug-resistant Tuberculosis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Nov 28, 2018
BACKGROUND: Levofloxacin is used for the treatment of multidrug-resistant tuberculosis; however the optimal dose is unknown.
Humans Mycobacterium tuberculosis Artificial Intelligence Drug Therapy, Combination Algorithms Antitubercular Agents Monte Carlo Method Tuberculosis, Multidrug-Resistant Tuberculosis, Pulmonary Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Levofloxacin Sputum
View on PubMed DOI

Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Nov 28, 2018
BACKGROUND: In the experimental arm of the OFLOTUB trial, gatifloxacin replaced ethambutol in the standard 4-month regimen for drug-susceptible pulmonary tuberculosis. The study included a nested pharmacokinetic (PK) study. We sought to determine if ...
Antitubercular Agents Tuberculosis, Pulmonary Pyrazinamide Rifampin Gatifloxacin Middle Aged Adolescent Dose-Response Relationship, Drug Young Adult Adult Male Artificial Intelligence Female Humans
View on PubMed DOI

Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Mar 1, 2018
OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.
Tuberculosis, Pulmonary Radiography, Thoracic Teleradiology Predictive Value of Tests Coinfection Feasibility Studies HIV Infections Uganda ROC Curve Female Humans Adult Male Software Prospective Studies Deep Learning
View on PubMed DOI

Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Jul 1, 2017
OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis.
Sputum Tuberculosis, Pulmonary Sensitivity and Specificity Electronic Nose Aged Mass Screening Male Case-Control Studies Young Adult Middle Aged Principal Component Analysis Adolescent Adult Humans Egypt Socioeconomic Factors Neural Networks, Computer Female
View on PubMed DOI
Popular Topics
Recent Journals