Pulmonology

Sleep apnoea and its consequences: from animal models to precision medicine.

A European Respiratory Society research seminar entitled "Sleep Apnoea and Its Consequences: From An...

Machine learning models for predicting postoperative complications following mandibular third molar surgery: Development, validation, and explainable AI insights.

The surgical removal of impacted mandibular third molars is a routine procedure in oral and maxillof...

Comparative analysis of five AI platforms for mandibular canal segmentation on CBCT images.

OBJECTIVES: Accurate mandibular canal (MC) identification on cone-beam computed tomography (CBCT) is...

Epidemiologic trajectories and burden of multidrug-resistant tuberculosis (MDR-TB) mortality across South Asia: An analysis of Global Burden of Disease data (1990-2023) with machine learning forecasting to 2050.

BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) remains a major public health challenge in Sou...

Clinical applications of artificial intelligence-driven nitric oxide: a bibliometric and scientific mapping analysis.

JOURNAL/mgres/04.03/01612956-202609000-00002/figure1/v/2026-01-06T135433Z/r/image-tiff Nitric oxide,...

Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation.

Sepsis, a life-threatening systemic inflammatory syndrome, remains a leading cause of global mortali...

From bench to bedside: The clinical relevance of atrial electrical remodeling in atrial fibrillation therapy.

Atrial electrical remodeling spans molecular, electrical, and structural alterations that shorten re...

ASO Author Reflections: Artificial Intelligence-Driven Thoracoscopic Video Analysis for Intraoperative Visceral Pleural Invasion Prediction.

Elucidating hydrogen bonding and synergistic adsorption mechanisms of morphine on deep eutectic solvent-functionalized biochar through machine learning and density functional theory.

Adsorbent materials effectively separated psychoactive substances from the ambient medium through ad...

Rapid Free-Breathing and Automated 2D Shimming of the Lung at 3T.

PURPOSE: To develop and validate a rapid, fully automated method for shimming of the lung. METHODS: ...

Multimodal Convolutional Neural Network Model for Evaluating Development of Fetal Rabbit Lung Using B-mode and Shear Wave Elastography Ultrasound Images.

OBJECTIVE: To evaluate the performance of convolutional neural network (CNN)-based models for predic...

Co-classification network analysis reveals nodal dysfunction and dimension-specific alterations in obstructive sleep apnea-hypopnea syndrome.

BACKGROUND: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a prevalent sleep disorder linked t...

A machine learning-driven app for predicting the need for post-operative respiratory support in liver transplant recipients.

BACKGROUNDS: Liver transplantation (LT) is a life-saving procedure for patients with end-stage liver...

Deep Laplacian Coordinates: End-to-end deeply guided anisotropic diffusion for COVID-19 pulmonary lesion segmentation.

Despite notable advances in deep learning, accurately segmenting lung lesions in computed tomography...

Imaging Evaluation for Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic f...

Instantaneous Abdominal T2* Mapping via Single-Shot MOLED Under Free-Breathing: A Preliminary Study of Hepatic Glycometabolism Imaging.

PURPOSE: To propose a gradient-echo multiple overlapping-echo detachment (GRE-MOLED) method for rapi...

Dysfunctional resting state network connectivity predicts postoperative delirium after major surgery.

BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cogniti...

Hitting the Bull's AI: Artificial Intelligence-derived Imaging Features and their Association with Outcomes in CT-guided Lung Biopsy, a Retrospective Study.

PURPOSE: This study aims to evaluate whether quantitative imaging features analyzed by an artificial...

Unraveling the molecular mechanisms of air pollution-induced lung adenocarcinoma through machine learning, network toxicology, and molecular docking.

OBJECTIVE: Airborne environmental contaminants are established carcinogens. This investigation eluci...

Vulnerabilities of feature clustering in EIT radiomics.

BACKGROUND: We aimed to determine whether unsupervised machine learning was able to discover latent ...

Radiologist- and computer-based chest imaging quantification at 12 months post transplant correlates with baseline lung allograft dysfunction.

BACKGROUND: Baseline lung allograft dysfunction (BLAD), defined as failure to achieve ≥ 80% predicte...