Pulmonology

Deep Learning for Pneumothorax Detection on Chest Radiograph: A Diagnostic Test Accuracy Systematic Review and Meta Analysis.

BACKGROUND: Pneumothorax is a common acute presentation in healthcare settings. A chest radiograph (...

Single-port robotic subcostal major pulmonary resection using the single-port robotic system.

BACKGROUND: The da Vinci single-port system (SPS) (Intuitive Surgical, Sunnyvale, CA, USA) was desig...

[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].

Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a...

Editorial: Cellular and molecular mechanisms of lung regeneration, repair, and fibrosis.

Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulation.

Emotions significantly shape decision-making, and targeted emotional elicitations represent an impor...

CT-Based Super-Resolution Deep Learning Models with Attention Mechanisms for Predicting Spread Through Air Spaces of Solid or Part-Solid Lung Adenocarcinoma.

RATIONALE AND OBJECTIVES: Spread through air space (STAS) is a novel invasive pattern of lung adenoc...

Editorial: World lung cancer awareness month 2022: artificial intelligence for clinical management of lung cancer.

Identification of high-risk population of pneumoconiosis using deep learning segmentation of lung 3D images and radiomics texture analysis.

OBJECTION: The aim of this study is to develop an early-warning model for identifying high-risk popu...

Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction.

In this work, we present a new approach to predict the risk of acute cellular rejection (ACR) after ...

Immune, metabolic landscapes of prognostic signatures for lung adenocarcinoma based on a novel deep learning framework.

Lung adenocarcinoma (LUAD) is a malignant tumor with high lethality, and the aim of this study was t...

AI co-pilot bronchoscope robot.

The unequal distribution of medical resources and scarcity of experienced practitioners confine acce...

Effects of robot-assisted arm training on respiratory muscle strength, activities of daily living, and quality of life in patients with stroke: a single-blinded randomized controlled trial.

BACKGROUND: Post-stroke clinical changes not only affect extremities and trunk muscles but also the ...

A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer.

BACKGROUND: To establish a predictive model based on multisequence magnetic resonance imaging (MRI) ...

Potential diagnostic application of a novel deep learning- based approach for COVID-19.

COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, wh...

Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.

BACKGROUND: Brain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. Thi...

Diagnostic value of artificial intelligence based on computed tomography (CT) density in benign and malignant pulmonary nodules: a retrospective investigation.

OBJECTIVE: To evaluate the diagnostic value of artificial intelligence (AI) in the detection and man...

Preparation and Characterisation of Zinc Diethyldithiocarbamate-Cyclodextrin Inclusion Complexes for Potential Lung Cancer Treatment.

Zinc diethyldithiocarbamate (Zn (DDC)), a disulfiram metabolite (anti-alcoholism drug), has shown a ...

Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs.

This study aimed to investigate effects of pulmonary fractalkine (FKN/CX3CL1) on angiogenesis and tu...

Specneuzhenide improves bleomycin-induced pulmonary fibrosis in mice via AMPK-dependent reduction of PD-L1.

BACKGROUND: Pulmonary fibrosis (PF) is an escalating global health issue, characterized by rising ra...

Machine Learning and CT Texture Features in Ex-smokers with no CT Evidence of Emphysema and Mildly Abnormal Diffusing Capacity.

RATIONALE AND OBJECTIVES: Ex-smokers without spirometry or CT evidence of chronic obstructive pulmon...

Machine learning models for the early prediction of ventilator-associated pneumonia.