Pulmonology

Pulmonary Cytology in Transformation.

BACKGROUND: Traditionally, pulmonary cytology has been used to diagnose and screen for a variety of ...

Association between ePWV and delirium risk in icu sepsis patients: a retrospective analysis based on the MIMIC database and development of a predictive model.

BACKGROUND: Sepsis, frequently complicated by delirium with poor prognosis, is common in the Intensi...

Artificial Intelligence-Assisted MRI and CT-Based Diagnostic Anatomical Evaluation of Experimental Rat Disease Models.

Artificial intelligence (AI) emerged as the transformative technology in biomedical imaging to impro...

Automated assessment of echocardiograms to aid diagnosis of heart failure with preserved ejection fraction.

AIMS: Diagnosis of heart failure with preserved ejection fraction (HFpEF) using the HFA-PEFF and H2F...

Advanced hemodynamic monitoring of the patient with acute heart failure and cardiogenic shock.

PURPOSE OF REVIEW: To provide a practical, physiology-driven framework for advanced hemodynamic moni...

Evaluation of artificial intelligence for pulmonary embolism detection on CTPA: A single-center retrospective study comparing AI, radiologists, and AI-assisted interpretation.

Pulmonary embolism (PE) is a life-threatening condition commonly diagnosed with computed tomography ...

Personalized Oxygen Saturation Targets Compared to the Oxygen Saturation Experienced in Care Among Mechanically Ventilated Adults.

RATIONALE: For critically ill adults receiving invasive mechanical ventilation, randomized trials ha...

A novel method for predicting tunnel blasting dust yield based on numerical inversion and WOA-DELM (Whale Optimization Algorithm-Deep Extreme Learning Machine) neural network.

Drilling and blasting during the construction of tunnels generate large amounts of dust. Accurately ...

Novel RT‒qPCR-based blood signatures for the diagnosis of pulmonary tuberculosis.

Whole-blood gene expression has the potential to become an affordable alternative for the diagnosis ...

Reply: Artificial Intelligence in Respiratory Medicine: Epistemic Authority, Trust and Responsibility in Practice and in Training.

Risk Stratification of Incidental Pulmonary Nodules: A Fully Automated Approach to CT Imaging Analysis.

BACKGROUND: Incidental detection is the most common pathway through which pulmonary nodules are iden...

UPP1 as a Diagnostic Biomarker: Insights from Integrative Bioinformatics and Immune Infiltration Analyses in COPD.

COPD is a progressive respiratory disorder characterized by persistent airflow limitation and chroni...

Combined Unipolar and Bipolar Voltage Mapping at Redo Ablation After Cryoballoon Pulmonary Vein Isolation: Associations With Subsequent Arrhythmia Recurrence.

Atomic-Scale Origin of the Cation Field Strength Dependence of Mechanical Properties in Divalent-Cation Aluminosilicate Glasses.

Aluminosilicate glasses are technologically important materials known for their high mechanical stre...

Artificial Intelligence-Assisted Cone-Beam Computed Tomography Analysis in Alveolar Ridge Preservation: A Narrative Review.

Alveolar ridge preservation (ARP) after tooth extraction depends on accurate three-dimensional bone ...

Global Freshwater Resistomes Reveal Environmental Signatures Associated with the Burden of Drug-resistant Tuberculosis.

Antimicrobial resistance (AMR) is a growing global health threat, yet the extent to which environmen...

Multimodal Brain Radiomics for Predicting Pathological Subtypes of Lung Cancer Brain Metastases: Impact of Imaging Modality, MRI Sequence, and Spatial Extent.

RATIONALE AND OBJECTIVES: To develop and validate a brain imaging-based multimodal radiomics model f...

Free energy perturbation and machine learning-assisted identification of novel molecules for the Mycobacterium tuberculosis KasA protein: a fragment-based drug design approach.

KasA is an essential enzyme of Mycobacterium tuberculosis (Mtb). It plays a critical role in synthes...

Advances in New Approach Methodologies at FDA's Division of Applied Regulatory Science.

New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory scie...

A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum.

N-Acetylcysteine (NAC), a thiol-containing mucolytic agent for COPD, exhibits significant pharmacoki...

The human oral and airway viral genome catalog from metagenomes enables virome characterization informing respiratory health.

BACKGROUND: Viral communities of the upper aerodigestive tract represent an important component of t...