Pulmonology

Composite dietary antioxidant index with hepatic indices for predicting mortality in cardiovascular-kidney-metabolic syndrome: Integrated analysis of a nationwide cohort study using machine learning approaches.

Oxidative stress is a pathological driver of cardiovascular-kidney-metabolic (CKM) syndrome, exacerb...

The association between serum chloride levels and asthma prevalence: A cross-sectional study with variable screening and validation guided by machine learning.

Prior evidence suggests that ion channel dysfunction plays a significant role in the pathogenesis of...

Radiological assessment of pulmonary vascularity in congenital heart disease: standardized clinician assessment versus deep learning-based prediction.

BACKGROUND: Assessment of pulmonary vascularity on chest radiographs (CXRs) in congenital heart dise...

Single-photon emission computed tomography/computed tomography-based radiomics of bone metastases for predicting epidermal growth factor receptor mutation status and targeted therapy efficacy in non-small-cell lung cancer.

BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomogr...

Distinguishing common respiratory pathogens using machine learning of symptom profiles to prioritize diagnostic testing.

Clinical symptoms are critical for diagnosing and managing upper respiratory tract infections, yet s...

A hypersensitive neuromorphic airflow sensor inspired by vision-compensatory scorpion mechanoreceptors for respiratory pattern analysis.

Efficient acquisition of spatial airflow information is vital for organisms to orient within complex...

A Multiparametric MRI‑Based Deep Learning Model for Binary Triage of Lung Versus Non‑lung Brain Metastases: A Multicenter Proof‑of‑Concept Study.

Identifying the origin of brain metastases (BM) is essential for personalized treatment, particularl...

Artificial intelligence for predicting perioperative anaesthetic complications and supporting clinical decision-making: a scoping review.

Perioperative anaesthetic complications are a major public health concern, as they are associated wi...

Machine learning prediction of the change in sleepiness following continuous positive airway pressure in obstructive sleep apnea: a multi-cohort analysis.

STUDY OBJECTIVES: To predict the improvement in sleepiness following continuous positive airway pres...

Characterization of AF Recurrence and Substrate Health by Electrographic Flow (EGF) Consistency in EGF Mapping.

BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial...

Oxygen management and targeted methods to Attack Retinopathy of Prematurity (ROP): Progress and Possibilities.

Retinopathy of prematurity (ROP) is an eye disease that severely impacts premature infants, especial...

Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following s...

Pulmonary function estimation and reliability assessment using hybrid-optimized ensemble learning.

Objective.Pulmonary function tests are central to assessing ventilatory impairment but are often lim...

Artificial intelligence and the phantom pneumothorax: Clinical reasoning still matters.

Artificial intelligence (AI) has become increasingly integrated into chest radiograph interpretation...

Validation of federated analytics across secure data environments: A comparative study of synthetic healthcare datasets using machine learning and general linear models.

OBJECTIVES: To enable research and innovation, most health data systems are moving away from a model...

Unclassifiable Invasive Pulmonary Aspergillosis in the Intensive Care Unit: Insights From a Multicenter, Retrospective Cohort Study in France (2022-2024).

BACKGROUND: Suspected invasive pulmonary aspergillosis (IPA) is increasingly treated in intensive ca...

Lung cancer detection in CT scans using extracted nodule features and precise multistage segmentation with deep learning based ensemble model.

Lung cancer is one of the deadliest malignancies, known for rapid growth and has high potential of s...

3D Slicer-based preprocedural trajectory planning for transvenous mediastinal biopsy using automated segmentation: a technical note.

Histological diagnosis of mediastinal tumors can be challenging when safe puncture access is limited...

SMART: structured, meaningful, auditable, responsible, and transparent documentation for clinical AI.

OBJECTIVE: Clinical AI systems and models increasingly need traceable documentation that makes inten...

A dissolved oxygen inversion method based on multi-source spectral-spatial feature fusion and recursive feature elimination.

Coastal ecosystem health is crucial for regional sustainability and biodiversity maintenance. As a k...

From automated ventilation to intelligent respiratory care and alarm management.