Latest AI and machine learning research in tuberculosis for healthcare professionals.
BACKGROUND: The differential diagnosis of invasive pulmonary aspergillosis (IPA), pulmonary mucormyc...
BACKGROUND: Spinal tuberculosis (TB), also known as Pott's spine, remains a significant global healt...
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence...
AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...
Convolution plays a significant role in many scientific and technological computations, such as arti...
Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a major global health threat,...
Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. Ho...
This systematic review evaluates the application of machine learning (ML) models for diagnosing pulm...
An effective Multi-Agent Path Finding (MAPF) algorithm must efficiently plan paths for multiple agen...
BACKGROUND: Tuberculous pleural effusion (TPE) is a prevalent tuberculosis complication, with diagno...
INTRODUCTION: Tuberculous meningitis (TBM) leads to high mortality, especially amongst individuals w...
Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critic...
Inflammatory diseases of the CNS impose a substantial disease burden, necessitating prompt and appro...
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and tr...
Mycobacterium abscessus (MABS) displays differential subspecies susceptibility to macrolides. Thus, ...
Artificial Intelligence (AI) has the potential to "bridge the gap" between healthcare provider and p...
BACKGROUND: Tuberculosis (TB) kills approximately 1.6 million people yearly despite the fact anti-TB...
MOTIVATION: World Health Organization estimates that there were over 10 million cases of tuberculosi...
The plasticity of the conduction delay between neurons plays a fundamental role in learning temporal...
Tuberculosis, which primarily affects developing countries, remains a significant global health conc...
Transfer learning (TL) has been proven to be a good strategy for solving domain-specific problems in...