Latest AI and machine learning research in tuberculosis for healthcare professionals.
The emergence of drug-resistant (Mtb) has hampered treatments for tuberculosis, which consequently ...
In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmon...
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector ...
belongs to the family Cupressaceae that the branches and leaves is an important Traditional Chinese...
Artificial intelligence is a hot topic in medical imaging. The development of deep learning methods ...
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds ...
Although microfluidic paper-based analytical devices (μPADs) get a lot of attention in the scientifi...
Tuberculosis is a leading cause of death from infectious disease worldwide, and is an epidemic in ma...
We applied genetic programming approaches to understand the impact of descriptors on inhibitory eff...
Tuberculosis remains one of the deadliest infectious diseases worldwide. Only 5-15% of people infect...
Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (...
High-content and high-throughput digital microscopes have generated large image sets in biological e...
Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast...
Secretory proteins of Mycobacterium tuberculosis have created more concern, given their dominant imm...
Convolutional neural networks have been shown to demonstrate high diagnostic performance in radiolog...
EsxA is an essential virulence factor for Mycobacterium tuberculosis (Mtb) pathogenesis as well as a...
BACKGROUND AND OBJECTIVE: Chest X-ray (CXR) is one of the most used imaging techniques for detection...
The low intensity ultrasound has been adopted by researchers to enhance the bactericidal effect agai...
At the core of any inference procedure, deep neural networks are dot product operations, which are t...
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) ...
BACKGROUND: The diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a gl...