Pulmonology

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

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BronchoGAN: anatomically consistent and domain-agnostic image-to-image translation for video bronchoscopy.

Purpose The limited availability of bronchoscopy images makes image synthesis particularly interesti...

Safety of nonselective nonsteroidal anti-inflammatory drugs in cardiac surgery: a historical cohort study.

PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase t...

A Novel nor@DHB Matrix for Direct Microbial Analysis in Lung Cancer Tissues.

Dynamic changes occurring in the lung microbiota can impact the initiation, progression, and prognos...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...

Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray.

Thoracic diseases, including pneumonia, tuberculosis, lung cancer, and others, pose significant heal...

Differentiating adenocarcinoma and squamous cell carcinoma in lung cancer using semi automated segmentation and radiomics.

INTRODUCTION: Adenocarcinoma (AD) and squamous cell carcinoma (SCC) are frequently observed forms of...

Prognosis and prognostic factors for chronic fibrosing idiopathic interstitial pneumonias.

Progressive lung fibrosis is frequently observed in patients with idiopathic interstitial pneumonias...

Streamlining tuberculosis detection with foundation model-based weakly supervised transformer.

Tuberculosis (TB) remains a major global health challenge, particularly in low- and middle-income co...

A Machine Learning Analysis of Physiological Monitoring Signals to Detect Small Airway Narrowing Due to Cold Air Exposure in Asthma.

Asthma is a chronic inflammatory disease of the small airways, affecting over 200 million people glo...

[Incidental pulmonary nodules on CT imaging: what to do?].

Incidental pulmonary nodules are very frequently found on CT imaging and may represent (early stage)...

Enhancing Lung Cancer Diagnosis: An Optimization-Driven Deep Learning Approach with CT Imaging.

Lung cancer (LC) remains a leading cause of mortality worldwide, affecting individuals across all ge...

Artificial Intelligence-Based Methods: The Path Forward in Achieving Equity in Lung Cancer Screening and Evaluation.

Although lung cancer remains a global threat to public health, evidenced based advances in screening...

A comparative study of recent large language models on generating hospital discharge summaries for lung cancer patients.

OBJECTIVE: Generating discharge summaries is a crucial yet time-consuming task in clinical practice,...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

Current and future applications of artificial intelligence in lung cancer and mesothelioma.

BACKGROUND: Considerable challenges exist in managing lung cancer and mesothelioma, including diagno...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

Machine Learning-Driven Discovery of TRIM Genes as Diagnostic Biomarkers for Idiopathic Pulmonary Fibrosis.

BACKGROUND Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease with limited effective ...

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