Pulmonology

Ultrasound elastography in pediatric care: bridging innovation and noninvasive diagnostics.

This review explores the application and limitations of ultrasound elastography (USE) in the pediatric population, addressing its diagnostic value across different organs and suggesting future directions for research and clinical practice. A literature review was conducted using PubMed to identify studies published between 2010 and 2025 that examined USE applications in children. The search focuse...

Self-Powered Flexible Hydrogel Sensor with Unbreakable Compressible Tolerance for Multiple Tactile Perception.

With the rapid development of bionic electronics for healthcare and human-machine interaction, developing flexible sensors that combine skin-like softness, operational stability, self-powered capability, and high sensitivity remains a major challenge. Here, we report a simple and cost-effective strategy to fabricate adhesive, transparent, and conductive hydrogel electrodes with skin-like mechanica...

A Foundation Model Based CT Biomarker for Non-Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non-Small Cell Lung Cancer.

Predicting pathological complete response (pCR) to neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC) is clinically important yet re...

Integrating deep learning techniques for analysis of chin morphology among Han Chinese individuals using a large cone-beam computed tomography dataset.

OBJECTIVES: To characterize chin morphology and investigate its associations with sex, as well as various sagittal and vertical skeletal patterns. MAT...

Characterization of vascular tortuosity throughout the murine oxygen-induced retinopathy model of ischemic retinopathy.

Vascular tortuosity (VT) is a critical biomarker of disease progression and decision to treat ischemic retinal disorders, particularly retinopathy of ...

Hybrid Modeling for Industrial Fermentation Processes with an 'Intra-Batch Experimental Design'.

Successful development of a predictive digital twin or digital shadow enabling improved batch planning and process optimization of industrial fungal f...

On-device cough detection and respiratory disease classification enhanced by generative data augmentation.

BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment and can be captured using consumer-grade smartphon...

The effect of artificial intelligence assisted evidence-based nursing on psychological distress relief and nursing satisfaction of patients with respiratory diseases.

BACKGROUND: Patients with respiratory diseases commonly experience psychological distress. Traditional evidence‑based nursing is limited in personaliz...

Denoising of low-dose chest computed tomography images using a U-net based convolutional Autoencoder and transfer learning.

Low-Dose Computed Tomography (LDCT) is a widely used imaging modality to perform CT examinations with a reduced radiation exposure to patients, but it...

A 19-layer convolutional neural network for accurate COVID-19 detection in chest X-ray images: comparative analysis with pretrained networks.

One of the most conspicuous developments in the unprecedented worldwide epidemic of COVID-19 is the pressing demand for reliable diagnostic tools. Uti...

A Promptable 3D-CT Foundation Model-Based Approach for Pulmonary Embolism.

PURPOSE: Blood clot volume (BCV), defined as the total three-dimensional (3D) volume of the thrombus on computed tomography angiography (CTA), is an o...

Tensor enhanced chest cancer classification via CNN and Vision Transformer models.

Lung diseases, particularly lung cancer, remain a leading cause of mortality worldwide, accounting for approximately 1.8 million deaths annually. Earl...

Risk stratification for postoperative hematoma following anterior cervical spine surgery: a machine learning approach.

BACKGROUND: Anterior approaches to the cervical spine have consistently increased annually, with commonly performed procedures demonstrating low morbi...

Machine learning assessment of pathologic response in lung cancer resections after neoadjuvant therapy - IASLC MPR Project.

INTRODUCTION: Machine learning algorithms may improve efficiency and accuracy of pathologic response (PR) assessment in surgically resected lung cance...

Identification of Pathological Secretions in Bronchoscopic Images Based on Edge Features and Multi-Scale Attention Mechanism.

The accumulation of pathological bronchial secretions compromises ventilation and oxygenation in critically ill patients and may lead to atelectasis o...

Marker-less Body Surface Registration with 3D imaging for Percutaneous Intervention with Smartphone Augmented Reality in Phantoms and in vivo.

PURPOSE: To evaluate the accuracy of automatic surface tracking registration with a smartphone augmented reality (AR) guidance system for percutaneous...

Characteristics of Plausible Source Cases Responsible for Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.

Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-...

Advancing Lithium-Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence-Driven Design Paradigms.

Lithium-oxygen batteries (LOBs) are regarded as one of the most promising next-generation energy storage systems, owing to their exceptionally high th...

Monitoring What Matters: Artificial Intelligence, Inspiratory Effort, and Patient-Ventilator Interaction in the ICU.

High Polarity Doping of CoFe Layered Hydroxides: Bifunctional and Corrosion-Resistant Anion Exchange Membrane Seawater Electrolyzers.

Green hydrogen production through seawater electrolysis is a promising strategy, although challenges such as sluggish oxygen evolution reaction (OER) ...