Latest AI and machine learning research in tuberculosis for healthcare professionals.
Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major c...
The visual perception system is the most important system for human learning since it receives over ...
Conventional stretchable electronics that adopt a wavy design, a neutral mechanical plane, and confo...
Serological diagnosis of active tuberculosis (TB) is enhanced by detection of multiple antibodies du...
Artificial intelligence (AI) applications for chest radiography and chest CT are among the most deve...
BACKGROUND: Multidrug-resistant Mycobacterium tuberculosis (Mtb) is a significant global public heal...
Precision fish farming is an emerging concept in aquaculture research and industry, which combines n...
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die ...
Respiration rate is a vital parameter which is useful for the earlier identification of diseases. In...
BACKGROUND: Control of tuberculosis (TB) depends on a balance between host's immune factors and bact...
Background Determining the activity of pulmonary tuberculosis on chest radiographs is difficult. Pur...
BACKGROUND: Tuberculosis (TB) incidence in Los Angeles County, California, USA (5.7 per 100,000) is ...
Tuberculosis (TB), an infectious disease caused by (), is an important public health issue. Current...
Deep learning (DL) has shown rapid advancement and considerable promise when applied to the automati...
Although Artificial Intelligence (AI) is being increasingly applied, considerable distrust about int...
PURPOSE: To develop and evaluate the effectiveness of a deep learning framework (3D-ResNet) based on...
Tuberculosis (TB) is an infectious disease and the leading cause of death globally. The rapidly emer...
INTRODUCTION: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical ...
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of p...
BACKGROUND: Machine learning sustains successful application to many diagnostic and prognostic probl...
Understanding and classifying Chest X-Ray (CXR) and computerised tomography (CT) images are of great...