Pulmonology

Genome-wide detection of human 5' UTR variants that impact protein translation.

The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating pro...

Identifying Undiagnosed COPD Using Machine Learning-Based Classification.

BACKGROUND: COPD is a leading cause of morbidity and mortality worldwide. However, 80% of individual...

3d-Transition Metal Doped Axially Coordinated Phthalocyanine Molecules as Highly Active Electrocatalysts for Oxygen Evolution/Reduction Reactions: A Machine Learning and DFT Study.

The electrocatalytic oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) are key pro...

Integrated Implementation Strategies to Promote the Use of AI-Assisted Diagnostic Software for Lung Nodule Screening in China: Process Evaluation Based on the RE-AIM Framework.

BACKGROUND: While artificial intelligence (AI)-assisted diagnostic software holds promise for improv...

Automatic Multi-Class Classification of 3D Relationships Between the Mandibular Third Molar and Canal on CBCT Using a Geometry-Aware Network.

OBJECTIVES: Accurate three-dimensional (3D) evaluation of the spatial relationship between the mandi...

HCLmNet: A unified hybrid continual learning strategy multimodal network for lung cancer survival prediction.

Lung cancer survival prediction remains one of the most challenging tasks in modern healthcare, as a...

Negligible impact of perifissural nodules in an AI-first reader workflow from UK lung screening trial.

OBJECTIVE: To evaluate the effect of perifissural nodules (PFNs) on radiologist workload within an A...

Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.

Extubation failure remains a major challenge in critically ill patients and is associated with adver...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

Accurate segmentation of pulmonary arteries and veins via a human-in-the-loop framework with application in COPD.

Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide. This study ...

Cardiopulmonary exercise testing in contemporary cardiology: physiological insights, novel applications and evolving algorithms.

Cardiopulmonary exercise testing (CPET) allows for the study of the pathophysiology of exercise into...

Communication, compassion, and shared decision-making in allergy.

Shared decision-making (SDM) is a structured approach to clinical care that integrates the best avai...

Comparison of vacuum ultraviolet-based oxidation as ultrafiltration pretreatment in real water: Performance, risk assessment, and mechanistic insights.

Natural organic matter (NOM), a ubiquitous foulant in aquatic environments, is commonly regarded as ...

Enhancing pulmonary embolism diagnosis: a squeeze-and-attention U-Net for precise detection and segmentation in CT angiography.

OBJECTIVE: Pulmonary embolism (PE) is a life-threatening condition requiring rapid and accurate diag...

Longitudinal Subphenotyping of Acute Respiratory Distress Syndrome: Implications in Prognostic Prediction and Clinical Intervention.

BACKGROUND AND OBJECTIVE: To identify the longitudinal subphenotypes (LSPs) in patients with acute r...

Machine learning algorithms for identifying tuberculous pericardial effusion: insights from a retrospective study in Vietnam.

BACKGROUND: Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to...

From Passive Sampling to Precision Intervention: A Standardized Radiomics-Driven Workflow for Molecularly Adequate Lung Biopsy.

PURPOSE: To develop and temporally validate a predictive framework for molecular adequacy in compute...

The Wnt receptor Frizzled3 (FZD3) drives aggressive phenotypes in small cell lung cancer.

BACKGROUND: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized b...

Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer.

INTRODUCTION: Smoking is a strong modifiable prognostic factor for lung cancer survival. We compared...

Repurposing Azilsartan medoxomil attenuates periodontitis by targeting SERPINB9 to promote apoptosis of IL1B+ macrophages.

Periodontitis (PD) is a common chronic inflammatory disease characterized by progressive destruction...