Pulmonology

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

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Showing 2059-2079 of 6,528 articles
Early chest tube removal regardless of drainage volume after anatomic pulmonary resection: A multicenter, randomized, controlled trial.

OBJECTIVES: This study aimed to evaluate the safety and feasibility of early chest tube removal afte...

Deep learning and radiomics of longitudinal CT scans for early prediction of tuberculosis treatment outcomes.

BACKGROUND: To predict tuberculosis (TB) treatment outcomes at an early stage, prevent poor outcomes...

Untargeted metabolomic profiling in children identifies novel pathways in asthma and atopy.

BACKGROUND: Asthma and other atopic disorders can present with varying clinical phenotypes marked by...

Effect of SARS-CoV-2 spike protein exposure on ACE2 and interleukin 6 productions in human adipocytes: An in-vitro study.

Since adipocytes play a crucial role in pathogenesis of severe acute respiratory syndrome coronaviru...

Curcumin Modulates NOX Gene Expression and ROS Production via P-Smad3C in TGF-β-Activated Hepatic Stellate Cells.

BACKGROUND: Liver fibrosis, associated with hepatic stellate cells (HSCs), occurs when a healthy liv...

Risk assessment of inferior alveolar nerve injury after wisdom tooth removal using 3D AI-driven models: A within-patient study.

OBJECTIVE: To compare a three-dimensional (3D) artificial intelligence (AI)- driven model with panor...

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.

BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) has several uses in the healthcare industry, ...

Disposable and eco-friendly electrochemical immunosensor for rapid detection of SARS-CoV-2.

This study describes the development of a simple, disposable, and eco-friendly electrochemical immun...

Walking the path of treatable traits in interstitial lung diseases.

Interstitial lung diseases (ILDs) are complex and heterogeneous diseases. The use of traditional dia...

Potential added value of an AI software with prediction of malignancy for the management of incidental lung nodules.

PURPOSE: To determine the impact of an artificial intelligence software predicting malignancy in the...

Prediction of visceral pleural invasion of clinical stage I lung adenocarcinoma using thoracoscopic images and deep learning.

PURPOSE: To develop deep learning models using thoracoscopic images to identify visceral pleural inv...

An event-triggered collaborative neurodynamic approach to distributed global optimization.

In this paper, we propose an event-triggered collaborative neurodynamic approach to distributed glob...

Risk factors of early mortality in COVID-19 patients in Indonesia: A retrospective cohort study in a provincial referral hospital of Aceh.

Some of coronavirus disease 2019 (COVID-19) patients died after being hospitalized and early mortali...

Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders.

Deep learning methods have gained significant attention in sleep science. This study aimed to assess...

Pressure support ventilation in intensive care patients receiving prolonged invasive ventilation.

To our knowledge, the use and management of pressure support ventilation (PSV) in patients receivin...

Temperature and haemodynamic effects of a 100 mL bolus of 20% albumin at room versus body temperature in cardiac surgery patients.

To study the temperature and haemodynamic effects of room versus body temperature 20% albumin fluid...

Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidem...

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