Pulmonology

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

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Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment stra...

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models.

The development and refinement of artificial intelligence (AI) and machine learning algorithms have ...

Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recog...

Investigating mitophagy mechanisms in bronchopulmonary dysplasia through bioinformatics.

BACKGROUND: Bronchopulmonary dysplasia (BPD) is a prevalent respiratory disease in premature infants...

Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.

A substantial portion of lung cancer-associated genetic elements in East Asian populations remains u...

Enhanced hyper tuning using bioinspired-based deep learning model for accurate lung cancer detection and classification.

Lung cancer (LC) is one of the leading causes of cancer related deaths worldwide and early recogniti...

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of t...

AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging.

Idiopathic pulmonary fibrosis (IPF) is a condition predominantly affecting the elderly and leading t...

Human respiratory simulation based on 3D modelling - a review.

Accurate simulation of respiratory dynamics is essential for advancing the diagnosis and treatment o...

Enhancing India's Health Security Efforts Against  : Gaps and Opportunities.

India bears a quarter of the world's tuberculosis (TB) burden. In 2018, the country set an ambitious...

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

COVID-19 has posed a significant global health challenge, affecting individuals across all age group...

Deep learning approach for automated hMPV classification.

Human metapneumovirus (hMPV) is a significant cause of respiratory illness, particularly in children...

CTAB modified SnO PEDOT PSS heterojunction humidity sensor with enhanced sensitivity stability and machine learning evaluation.

This study presents the development of a high-performance resistive humidity sensor based on a cetyl...

Artificial intelligence-driven decision support for patients with acute respiratory failure: a scoping review.

BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool for decision support in man...

A Cohort Study of Pediatric Severe Community-Acquired Pneumonia Involving AI-Based CT Image Parameters and Electronic Health Record Data.

INTRODUCTION: Community-acquired pneumonia (CAP) is a significant concern for children worldwide and...

Low-temperature plasma modulates seed germination through reactive oxygen species in dose-dependent manner.

Atmospheric pressure low-temperature plasma treatment has been shown to enhance seed germination in ...

LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM...

Harnessing artificial intelligence to advance insights in systemic sclerosis skin and lung disease.

PURPOSE OF REVIEW: The purpose of this review is to summarize the uses of artificial intelligence fo...

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare...

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