Pulmonology

A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.

BACKGROUND: The use of artificial intelligence, including machine learning, is increasing in medicin...

Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.

Segmentation and quantification of each subtype of emphysema is helpful to monitor chronic obstructi...

A Multimodal Wearable System for Continuous and Real-Time Breathing Pattern Monitoring During Daily Activity.

OBJECTIVE: This study aims to understand breathing patterns during daily activities by developing a ...

A quite sensitive fluorescent loop-mediated isothermal amplification for rapid detection of respiratory syncytial virus.

INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related...

A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. R...

Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.

COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consen...

Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Machine learning has become ubiquitous and a key technology on mining electronic health records (EHR...

Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector ...

Artificial intelligence approaches using natural language processing to advance EHR-based clinical research.

The wide adoption of electronic health record systems in health care generates big real-world data t...

The doctor will see you now: How machine learning and artificial intelligence can extend our understanding and treatment of asthma.

An antifouling peptide-based biosensor for determination of Streptococcus pneumonia markers in human serum.

We report a peptide-based sensor that involves a multivalent interaction with L-ascorbate 6-phosphat...

Unravelling machine learning: insights in respiratory medicine.

Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.

Harmful algal blooms (HABs) that produce toxins and those that lead to fish kills are global problem...

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that is class...

Survey on deep learning for pulmonary medical imaging.

As a promising method in artificial intelligence, deep learning has been proven successful in severa...

Synthesis and in vitro activity of asymmetric indole-based bisamidine compounds against Gram-positive and Gram-negative pathogens.

A series of new asymmetric bisamidine was designed, synthesized, and tested for their in-vitro antib...

Flavonoid bioactive compounds of hawthorn extract can promote growth, regulate electrocardiogram waves, and improve cardiac parameters of pulmonary hypertensive chickens.

The effect of orally administered hawthorn flavonoid extract (HFE) on growth, electrocardiographic w...

Characterization of the complete chloroplast genome of (Cupressaceae), an herb to treat lumbar tuberculosis in China.

belongs to the family Cupressaceae that the branches and leaves is an important Traditional Chinese...

Multi-objective ensemble deep learning using electronic health records to predict outcomes after lung cancer radiotherapy.

Accurately predicting treatment outcome is crucial for creating personalized treatment plans and fol...

Graphene quantum dots as singlet oxygen producer or radical quencher - The matter of functionalization with urea/thiourea.

Due to their low cost and possible green synthesis, high stability and resistance to photobleaching,...

Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.

A number of studies on lung nodule classification lack clinical/biological interpretations of the fe...