Pulmonology

Respiratory sound analysis in a rabbit tracheomalacia model.

A Biologically Lubricating Allicin-Based Nanoplatform for Remodeling the Inflammation-Senescence Axis in the Treatment of Periodontitis.

Periodontitis is driven by a self-reinforcing cycle of persistent inflammation and cellular senescence, further exacerbated by pathogenic microbial colonization. To address this challenge, inspired by the "fortress effect", we report an allicin-based nanoplatform of biolubrication (PPCG) that establishes a physical and biological protective barrier for precise modulation of the periodontal microen...

Screening of Respiratory Toxicity of Environmental Compounds Based on Multimodal Feature Fusion Model.

The respiratory system constitutes the primary interface between the human body and the external environment, demonstrating particular vulnerability t...

Field Foresight-Predicting the Need for Massive Transfusion, ICU Utilization, and Mechanical Ventilation for Traumatically Injured Patients.

INTRODUCTION: Expeditiously predicting outcomes is essential to allocating blood and intensive care resources. We hypothesize the use of external inju...

Highlights from the Italian National Congress of Imaging in Pulmonology 2025: fostering implementation of advanced technologies for precision patient-centered care.

The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a unique educational platform exploring the evolving...

Unsupervised segmentation of dynamic pulmonary MRI using cross-modality adaptation with annotated CT images.

PURPOSE: Accurate segmentation of lung parenchyma in dynamic pulmonary magnetic resonance imaging (MRI) is required for clinical diagnosis and treatme...

AI-Driven Analysis of Cardiopulmonary Exercise Tests to Identify Gas Exchange and Ventilatory Thresholds.

BACKGROUND: A cardiopulmonary exercise test (CPET) provides the estimated lactate threshold (θLT) and respiratory compensation point (RCP) through vis...

Diagnosis model of early malignant pulmonary nodules based on clinical laboratory data.

Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules.

BACKGROUND: Artificial intelligence-based radiomic approaches have been shown to accurately evaluate indeterminate pulmonary nodules. With the expansi...

CTKGR: temporal knowledge graph enhanced prediction of in-hospital events for pneumonia patients using electronic health records.

OBJECTIVE: This study aims to develop an advanced clinical event prediction model leveraging the temporal characteristics embedded within electronic h...

Impact of Deep Learning-Based Time-of-Flight PET Images of Small Tumors Using a Human Anatomic Phantom.

Time-of-flight (ToF) in PET improves image quality by enhancing the signal-to-noise ratio, and recent deep learning (DL)-based ToF (DL-ToF) methods fu...

Artificial Intelligence-Enhanced Optimization of Wireless Breath Sensor Arrays for Detection of Lung Cancer Using Fuzzy Logic-Guided Genetic Algorithm and Multimodal Machine Learning.

Early detection of lung cancer remains critical for improving patient survival, yet current imaging-based screening methods are costly, invasive, and ...

Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing.

BACKGROUND: Cardiorespiratory fitness, as measured by peak oxygen uptake during cardiopulmonary exercise testing, is a prognostic indicator. We aim to...

3D region-growing nnU-Net improves pulmonary embolism detection on CTPA: a dual-cohort validation study.

OBJECTIVES: We compared three customized nnU-Net models (A: baseline two-dimensional (2D); B: 2D + region-growing; C: three-dimensional (3D) + region-...

Cell-free DNA fragmentomes for noninvasive detection of liver cirrhosis and other diseases.

Accessible liquid biopsies, including analyses of genome-wide cell-free DNA (cfDNA) fragmentation, are emerging for early detection of cancer but rema...

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact be...

Thoracic muscle loss increases the use of mechanical ventilation in elderly patients with pulmonary embolism: constructing and validating a machine learning model on a two-center cohort.

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the need for mechanical ventilation (MV) in elderly patie...

Multimodal MRI-based two-stage artificial intelligence framework for renal fibrosis classification in chronic kidney disease.

Ensemble learning on serum metabolic fingerprints for early detection of lung adenocarcinoma.

Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality worldwide, highlighting the urgent need for non-invasive strategies for...

Radiomics features as imaging biomarkers in alveolar and craniofacial bone healing: a scoping review.

Radiomics has emerged as a promising approach for quantifying bone regeneration by extracting high-dimensional features from routine imaging data. Thi...