Pulmonology

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

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Using natural language processing to identify emergency department patients with incidental lung nodules requiring follow-up.

OBJECTIVES: For emergency department (ED) patients, lung cancer may be detected early through incide...

(2)
Jan 2025 39821298
Task-oriented robotic rehabilitation for back mobility and functioning in a post-intensive care unit obese patient: A case report.

BackgroundIntensive care unit (ICU) acquired weakness is a detrimental condition characterized by mu...

(2)
Jan 2025 39973268
Association between automatic AI-based quantification of airway-occlusive mucus plugs and all-cause mortality in patients with COPD.

In this cohort study involving 9399 current and former smokers from the Genetic Epidemiology of Chro...

(2)
Jan 2025 39638548
Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods.

Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges...

Jan 2025 39824879
Generative Adversarial Networks With Radiomics Supervision for Lung Lesion Generation.

Data-driven methods for lesion generation are quickly emerging due to the need for realistic imaging...

Jan 2025 39208053
Interpretable machine learning models for COPD ease of breathing estimation.

Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide and greatly reduc...

(1)
Jan 2025 39808263
Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactio...

(2)
Jan 2025 39830784
Golgi protein 73: charting new territories in diagnosing significant fibrosis in MASLD: a prospective cross-sectional study.

OBJECTIVES: To explore the correlation between serum Golgi protein 73 (GP73) levels and the degree o...

Jan 2025 39872312
Sex-based variations in breath-holding: oxygen storage and diving response among non-divers.

Breath-hold diving performances are typically better in men than in women. However, it is still bein...

Jan 2025 39872417
Assessing ChatGPT's accuracy and reliability in asthma general knowledge: implications for artificial intelligence use in public health education.

BACKGROUND: Integrating Artificial Intelligence (AI) into public health education represents a pivot...

Jan 2025 39773167
Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.

BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors...

Jan 2025 39805470
A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort.

Deep learning (DL) methods have demonstrated remarkable effectiveness in assisting with lung cancer ...

Jan 2025 39799226
Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique.

Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CH₂-CH₂-CO-) ...

Jan 2025 39798505
AI based medical imagery diagnosis for COVID-19 disease examination and remedy.

COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries, affecting mil...

(1)
Jan 2025 39794454
Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning.

The aim of this study was to develop and validate a machine learning-based mortality risk prediction...

(1)
Jan 2025 39794470
Cardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.

Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research...

(2)
Jan 2025 39792851
A comprehensive retrospect on the current perspectives and future prospects of pneumoconiosis.

Pneumoconiosis is a widespread occupational pulmonary disease caused by inhalation and retention of ...

Jan 2025 39866352
Machine learning models provide modest accuracy in predicting clinical impact of porcine reproductive and respiratory syndrome type 2 in Canadian sow herds.

OBJECTIVE: To determine the predictive potential of the open reading frame 5 nucleotide sequence of ...

Jan 2025 39787711
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