Pulmonology

Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers.

Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limit...

Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with ...

Metabolic Adaptation Study of Tumor Cells during Lung Cancer Bone Metastasis in Mice Based on Single-Cell Metabolome Analysis.

Lung cancer metastasis, the leading cause of patient mortality, is driven by circulating tumor cells...

Quantum Federated Learning in Healthcare: The Shift from Development to Deployment and from Models to Data.

Healthcare organizations have a high volume of sensitive data and traditional technologies have limi...

Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients.

BACKGROUND: Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of ...

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health ...

Initiation of antifibrotic treatment in fibrosing interstitial lung disease: is the clock ticking till proven progression?

Several interstitial lung diseases (ILDs) with different aetiologies and pathogenic mechanisms may e...

Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study.

Antiretroviral therapy (ART) has transformed HIV from a rapidly progressive and fatal disease to a c...

Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication.

The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and prim...

Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery.

Data-Guided Exploration of Process Control in Carbon-Based Catalyst Design for Two-Electron Oxygen Reduction.

Electrochemical hydrogen peroxide (HO) synthesis via the two-electron oxygen reduction reaction (2e ...

Innovative machine learning approach for liver fibrosis and disease severity evaluation in MAFLD patients using MRI fat content analysis.

This study employed machine learning models to quantitatively analyze liver fat content from MRI ima...

A Sensor Array Composed of Organelle-Targeting Fluorescent Probes and Polydopamine Particles for Deep Learning-Assisted Identification and Ablation of Drug-Resistant Lung Tumors.

Lung cancer, a leading cause of global cancer-related mortality, predominantly features nonsmall cel...

Machine learning driven rational design of AuAgPdHgCu HEA catalysts for the two-electron oxygen reduction reaction.

This study integrated high-throughput DFT calculations and machine learning to screen AuAgPdHgCu hig...

A novel lung cancer diagnosis model using hybrid convolution (2D/3D)-based adaptive DenseUnet with attention mechanism.

Existing Lung Cancer Diagnosis (LCD) models have difficulty in detecting early-stage lung cancer due...

Accelerated free-breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin-echo data.

PURPOSE: To accelerate respiratory triggered free-breathing T2 mapping of the abdomen while maintain...

A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Pulmonary diseases have become one of the main reasons for people's health decline, impacting millio...

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses ...

AI-Driven Integration of Deep Learning with Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction: Progress and Perspectives.

This Perspective article explores the transformative role of artificial intelligence (AI) in predict...

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal...

Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Early detection of lung cancer, which remains one of the leading causes of death worldwide, is impor...