AIMC Topic: Tuberculosis, Pulmonary
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Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.
Radiology
Sep 6, 2022
Background The World Health Organization (WHO) recommends chest radiography to facilitate tuberculosis (TB) screening. However, chest radiograph interpretation expertise remains limited in many regions. Purpose To develop a deep learning system (DLS)...
Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis.
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
May 18, 2022
BACKGROUND: Few evaluations of computer-aided detection (CAD) software for analyzing chest radiographs for tuberculosis have used mycobacterial culture as the reference standard.
Lightweight YOLOv4 with Multiple Receptive Fields for Detection of Pulmonary Tuberculosis.
Computational intelligence and neuroscience
Mar 31, 2022
The characteristics of pulmonary are complex, and the cost of manual screening is high. The detection model based on convolutional neural network is an essential method for assisted diagnosis with artificial intelligence. However, it also has the di...
Magnetic Resonance Imaging Images under Deep Learning in the Identification of Tuberculosis and Pneumonia.
Journal of healthcare engineering
Dec 15, 2021
This work aimed to explore the application value of deep learning-based magnetic resonance imaging (MRI) images in the identification of tuberculosis and pneumonia, in order to provide a certain reference basis for clinical identification. In this st...
Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis.
Scientific reports
Dec 13, 2021
There have been few independent evaluations of computer-aided detection (CAD) software for tuberculosis (TB) screening, despite the rapidly expanding array of available CAD solutions. We developed a test library of chest X-ray (CXR) images which was ...
A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.
European radiology
Nov 29, 2021
OBJECTIVES: An accurate and rapid diagnosis is crucial for the appropriate treatment of pulmonary tuberculosis (TB). This study aims to develop an artificial intelligence (AI)-based fully automated CT image analysis system for detection, diagnosis, a...
An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis.
Tuberculosis (Edinburgh, Scotland)
Nov 10, 2021
Tuberculosis (TB) is the greatest irresistible illness in humans, caused by microbes Mycobacterium TB (MTB) bacteria and is an infectious disease that spreads from one individual to another through the air. It principally influences lung, which is te...
Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
Radiology
Aug 31, 2021
Background A computer-aided detection (CAD) system may help surveillance for pulmonary metastasis at chest radiography in situations where there is limited access to CT. Purpose To evaluate whether a deep learning (DL)-based CAD system can improve di...
CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.
PLoS pathogens
Aug 17, 2021
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries....
Interleukin-37 gene polymorphism and susceptibility to pulmonary tuberculosis among Iraqi patients.
The Indian journal of tuberculosis
Aug 12, 2021
BACKGROUND: Control of tuberculosis (TB) depends on a balance between host's immune factors and bacterial evasion strategies. Interleukin-37 (IL-37) is among the immunomodulatory factors that have been proposed to influence susceptibility to tubercul...
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