Pulmonology

Tuberculosis

Latest AI and machine learning research in tuberculosis for healthcare professionals.

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Deep Learning Models for CT Segmentation of Invasive Pulmonary Aspergillosis, Mucormycosis, Bacterial Pneumonia and Tuberculosis: A Multicentre Study.

BACKGROUND: The differential diagnosis of invasive pulmonary aspergillosis (IPA), pulmonary mucormyc...

Bibliometric analysis of research on spinal tuberculosis in last 5 years.

BACKGROUND: Spinal tuberculosis (TB), also known as Pott's spine, remains a significant global healt...

Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review.

AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...

Karatsuba Algorithm Revisited for 2D Convolution Computation Optimization.

Convolution plays a significant role in many scientific and technological computations, such as arti...

Current Diagnosing Strategies for Mycobacterium tuberculosis and its Drug Resistance: A Review.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a major global health threat,...

[Serum proteomics and machine learning unveil new diagnostic biomarkers for tuberculosis in adolescents and young adults].

Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. Ho...

Graph attention networks based multi-agent path finding via temporal-spatial information aggregation.

An effective Multi-Agent Path Finding (MAPF) algorithm must efficiently plan paths for multiple agen...

Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis.

INTRODUCTION: Tuberculous meningitis (TBM) leads to high mortality, especially amongst individuals w...

Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.

Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critic...

Multimodal deep learning model for prediction of prognosis in central nervous system inflammation.

Inflammatory diseases of the CNS impose a substantial disease burden, necessitating prompt and appro...

Contribution of machine learning for subspecies identification from Mycobacterium abscessus with MALDI-TOF MS in solid and liquid media.

Mycobacterium abscessus (MABS) displays differential subspecies susceptibility to macrolides. Thus, ...

Developing an AI-Assisted Platform to Support Tuberculosis Care Delivery.

Artificial Intelligence (AI) has the potential to "bridge the gap" between healthcare provider and p...

Scalable de novo classification of antibiotic resistance of Mycobacterium tuberculosis.

MOTIVATION: World Health Organization estimates that there were over 10 million cases of tuberculosi...

Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks.

The plasticity of the conduction delay between neurons plays a fundamental role in learning temporal...

AI for Detection of Tuberculosis: Implications for Global Health.

Tuberculosis, which primarily affects developing countries, remains a significant global health conc...

Revisiting Transfer Learning Method for Tuberculosis Diagnosis.

Transfer learning (TL) has been proven to be a good strategy for solving domain-specific problems in...

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