Pulmonology

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

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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging.

Lung and colon cancers (LCC) are among the foremost reasons for human death and disease. Early analy...

Exploring tuberculosis patients' preferences for AI-assisted remote health management services in China: a protocol for a discrete choice experiment.

INTRODUCTION: Effective health management is critical for patients with tuberculosis (TB), especiall...

Identifying and characterising asthma subgroups at high risk of severe exacerbations using machine learning and longitudinal real-world data.

OBJECTIVES: To identify and characterise distinct subgroups of patients with asthma with severe acut...

Performance of a deep-learning-based lung nodule detection system using 0.25-mm thick ultra-high-resolution CT images.

PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection assist radiologists. As t...

Unlocking potent anti-tuberculosis natural products through structure-activity relationship analysis.

Tuberculosis (TB) remains a world health problem due to the high number of affected individuals, hig...

Evaluation of AI-based detection of incidental pulmonary emboli in cardiac CT angiography scans.

Incidental pulmonary embolism (PE) is detected in 1% of cardiac CT angiography (CCTA) scans, despite...

Shape matters: inferring the motility of confluent cells from static images.

Cell motility in dense cell collectives is pivotal in various diseases like cancer metastasis and as...

Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges.

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute on...

Identification of inflammation-related biomarkers and therapeutic targets for neurogenic bladder fibrosis via multi-omics analysis.

Inflammatory responses play a crucial role in the progression of pediatric neurogenic bladder (NB)-a...

Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds.

BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD), a progressively worsening re...

Advancements in Tuberculosis Diagnostics: An Update.

Tuberculosis (TB) is one of the major life-threatening diseases caused by a single pathogen which ha...

Disease Classification of Pulmonary Xenon Ventilation MRI Using Artificial Intelligence.

RATIONALE AND OBJECTIVES: Hyperpolarized Xenon magnetic resonance imaging (MRI) measures the extent ...

Developing a Panel of Shared Susceptibility Genes as Diagnostic Biomarkers for chronic obstructive pulmonary disease and Heart Failure.

AIM: Chronic obstructive pulmonary disease (COPD) and heart failure (HF) are closely intertwined com...

Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing.

BACKGROUND: Diabetic kidney disease (DKD) is the major cause of chronic kidney failure, with tubuloi...

Accuracy and Reliability of ChatGPT in Answering Patient Questions About Lung Cancer and Its Surgery: An Expert Panel Evaluation by Thoracic Surgeons.

This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses t...

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), h...

Dual-Branch Attention Fusion Network for Pneumonia Detection.

Pneumonia, as a serious respiratory disease caused by bacterial, viral or fungal infections, is an i...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

Impact of Normal Lung Volume Choices on Radiation Pneumonitis Risk Prediction in Locally Non-small Cell Lung Cancer Radiation Therapy.

PURPOSE: This study aims to evaluate the impact of varying definitions of normal lung volume on the ...

Efficient sleep apnea detection using single-lead ECG: A CNN-Transformer-LSTM approach.

BACKGROUND: Sleep apnea (SA), a prevalent sleep-related breathing disorder, disrupts normal respirat...

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