Pulmonology

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

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NAVT-net neuron attention visual taylor network for lung cancer detection using CT images.

Lung Cancer is regarded as a common fatal disease affecting humans throughout the entire world. Earl...

Automated mechanical ventilator design and analysis using neural network.

Mechanical ventilation is the process through which breathing support is provided to patients who fa...

Machine-learning model based on ultrasomics for non-invasive evaluation of fibrosis in IgA nephropathy.

OBJECTIVES: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasiv...

Machine learning models for preventative mobile health asthma control.

INTRODUCTION: Asthma attacks are set off by triggers such as pollutants from the environment, respir...

Predicting biomass conversion and COD removal in wastewater treatment by phototrophic bacteria with interpretable machine learning.

Photosynthetic bacteria (PSB) excel in wastewater treatment by removing pollutants and generating bi...

Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients.

BACKGROUND: Systemic sclerosis (SSc) is a rare connective tissue disease associated with rapidly evo...

Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.

To integrate machine learning and multiomic data on lactylation-related genes (LRGs) for molecular t...

A machine learning based algorithm accurately stages liver disease by quantification of arteries.

A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue an...

Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.

Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis...

Current update on surgical management for spinal tuberculosis: a scientific mapping of worldwide publications.

INTRODUCTION: Spinal tuberculosis (TB), or Pott's disease, remains a significant global health issue...

Nanobody screening and machine learning guided identification of cross-variant anti-SARS-CoV-2 neutralizing heavy-chain only antibodies.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the...

Colorimetric aptasensor coupled with a deep-learning-powered smartphone app for programmed death ligand-1 expressing extracellular vesicles.

Lung cancer is a devastating public health threat and a leading cause of cancer-related deaths. Ther...

Multi-parametric MRI combined with radiomics for the diagnosis and grading of endometrial fibrosis.

PURPOSE: To evaluate the application of multi-parametric MRI (MP-MRI) combined with radiomics in dia...

Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network.

Deep learning methods have significantly improved medical image analysis, particularly in detecting ...

Deep learning-based synthetic CT for dosimetric monitoring of combined conventional radiotherapy and lattice boost in large lung tumors.

PURPOSE: Conventional radiotherapy (CRT) has limited local control and poses a high risk of severe t...

Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study.

BACKGROUND: Identifying high risk factors and predicting lung cancer incidence risk are essential to...

Machine learning potential predictor of idiopathic pulmonary fibrosis.

INTRODUCTION: Idiopathic pulmonary fibrosis (IPF) is a severe chronic respiratory disease characteri...

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