Pulmonology

K-STAMM: a knowledge-enhanced spatial - temporal attention model with multimodal fusion for pneumonia prediction.

Precise prediction of pneumonia remains a challenge mainly because effective integration of clinical...

Raman analysis of black carbon using artificial neural networks for emission source classification.

Black Carbon (BC), a major component of Particulate Matter (PM), plays a crucial role in air polluti...

Artificial intelligence-enhanced three-dimensional radiological analysis for predicting spread through air spaces in early-stage lung adenocarcinoma.

OBJECTIVES: Spread through air space (STAS) is a pathological feature that correlates with poor prog...

Ischaemia in tuberculous meningitis: update on pathophysiology, clinical predictors and management.

PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is a severe manifestation of Mycobacterium tuberculo...

Targeting immunosenescence in lung diseases: mechanistic insights and clinical interventions.

Immunosenescence, the age-related decline in immune function, plays a crucial role in the pathogenes...

Opportunistic Screening on Chest CT, From the AJR Special Series on Screening.

The increase in chest CT volumes affords radiologists the opportunity to systematically assess imagi...

Healthcare-associated infections in Italian long-term care facilities: a machine learning analysis of a 12-month cohort.

OBJECTIVES: To estimate the incidence of healthcare-associated infections (HAIs) in Italian long-ter...

Does Hypotension Prediction Index limit the occurrence of postoperative complications associated with intraoperative hypotension? A systematic review and model-averaged Bayesian meta-analysis of statistically sound studies.

Intraoperative hypotension (IOH) is considered a potential contributing factor to postoperative comp...

Plasma proteomic signatures linking preserved ratio impaired spirometry to cardiometabolic diseases and multimorbidity: A longitudinal cohort study.

BACKGROUND: Preserved ratio impaired spirometry (PRISm), defined by reduced FEV1 with preserved FEV1...

A unified multimodal framework for chest X-ray retrieval and disease prediction for clinical decision support.

Recent advances in medical imaging and natural language processing enable new opportunities for auto...

Antimicrobial peptides in malaria and tuberculosis management: a systematic review of emerging evidence.

AMPs (Antimicrobial peptides) are small molecules that are crucial components of biological activiti...

Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approach.

OBJECTIVES: This study aimed to evaluate the feasibility and accuracy of automated contrast-to-noise...

Research on lung nodule detection in X-ray plain films based on improved YOLOv12 model.

To improve automatic lung nodule detection in chest X-ray images, this study proposes an improved YO...

Development and validation of a clinical nomogram for frailty prediction in older COPD patients: a machine learning approach.

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (I...

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lun...

Dual biomarkers ALOX5AP and INPP4A are associated with lipid metabolism and neutrophil extracellular traps in periodontitis: A bioinformatics and clinical validation study.

OBJECTIVE(S): Periodontitis is a chronic inflammatory disease characterized by progressive alveolar ...

Survival prediction in non-small cell lung cancer using layer-wise radiomics and stacked radscore integration: a multi-institutional study.

OBJECTIVES: To enhance prognostic modeling in patients with non-small cell lung cancer (NSCLC), we d...

Three decades of hemodynamic monitoring (1995-2025): from invasive pressure based hemodynamic profiling to functional physiology.

PURPOSE OF REVIEW: Hemodynamic monitoring has undergone a profound transformation over the last 30 y...

Artificial intelligence-based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation.

STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model...

Integrated Strategies for Nursing and Rehabilitation in Lung Cancer Patients.

This review delineates the pivotal role of nursing and rehabilitation in perioperative management an...