COPD

Diagnostic Imaging Pathways in Peripheral Artery Disease: A Comparative Review of Duplex Ultrasound Through Computed Tomography Angiography.

Peripheral artery disease (PAD) is a major global health challenge, affecting more than 200 million people worldwide and an estimated 8 to 12 million in the United States. Its clinical spectrum ranges from intermittent claudication to chronic limb-threatening ischemia and acute limb ischemia. Accurate vascular imaging is essential for diagnosis, risk stratification, treatment planning, and postpro...

The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy of diagnostic services offering a great benefit to patient care. When developing AI models for diagnosis, the 'ground truth' refers to the reference standard used in the labelling...

AI based prediction of severe exacerbation in Asian bronchiectasis patients using the KMBARC registry.

Based on single-cell and transcriptome analysis of inflammatory pathway biomarkers and their molecular mechanisms in chronic obstructive pulmonary disease.

BACKGROUND: Systemic inflammation in chronic obstructive pulmonary disease (COPD) presents significant therapeutic challenges. Our study employs integ...

Non-pharmacological treatment of AECOPD.

Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are acute events characterized by rapid worsening of dyspnea, cough, and sputum...

The rise of artificial intelligence in respiratory primary care and pulmonology: a scoping review.

Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to population lung health. This scoping review synthe...

AI-Driven Patient Screening for Clinical Trials in Pancreatic Cancer: The PANCR-AI Pilot Retrospective Comparative Study.

BACKGROUND: Screening for clinical trials is challenging for clinicians due to its time-consuming and repetitive nature. The rise of artificial intell...

The Evaluation of Transformer Models for the Detection of Adverse Drug Events: A Benchmark Study Using Dutch Free-Text Documents of Hospitalized Patients.

INTRODUCTION: Adverse drug events (ADEs) are a leading cause of preventable patient harm in hospitals. Because they are often recorded only in clinica...

Feasibility of the Belun sleep platform for obstructive sleep apnea diagnosis: A pilot case series from India.

Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA), but it poses significant barriers in resource-limited setting...

Expanding access to cerebrovascular imaging with routine MRI for pre-surgical assessment of intracranial tumor patients: an AI model development and multi-center validation study.

BACKGROUND: Angiography is the gold standard for assessing the relationship between cerebral arteries and intracranial tumors, but its use is limited ...

Multi-branch convolutional neural network and intracranial EEG high-frequency oscillations predict post-surgical seizure outcomes.

OBJECTIVE: Pathological High-Frequency Oscillations (HFOs) identify epileptogenic cortex, but their surgical utility is unproven. Current epilepsy sur...

The impact of chest computed tomography-defined emphysema on extrapulmonary metastases in patients with lung cancer.

Clinical History, Spirometry, and CT Features Can Predict Dyspnea in Smokers with and without Spirometry-Defined COPD.

A dayside aurora dataset from the Global-scale Observations of the Limb and Disk mission.

We present a comprehensive dataset of dayside auroral emissions observed by the Global-scale Observations of the Limb and Disk (GOLD) mission from Oct...

Contemporary Management of Radiation Necrosis: Insights and Avenues.

Radiation necrosis (RN) remains a challenging complication of upfront radiation therapy for both brain metastases and primary tumors. Despite developm...

Unraveling Scaling Relationships in Dual-Atom Catalysts with Electronic Descriptors: A Machine Learning Investigation for OER/ORR Activity.

Dual-atom catalysts (DACs) have emerged as a new frontier in heterogeneous catalysis, offering improved stability and superior performance in key elec...

Ferroptosis-Related Signature Genes and Immune Landscape in Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

UNLABELLED: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by heightened inflammation and immune dysregulation,...

Clinical validation of perfusion imaging with pulmonary function test data using Voronoi-based discretization.

Accurate lung function assessment is essential for diagnosing and managing diseases like COPD, pulmonary emboli, and lung cancer. Single-photon emissi...

Digital pathology-based artificial intelligence algorithms in prostate cancer: inside the 'black box'.

Artificial intelligence (AI) algorithms leveraging digital pathology slides are currently transforming the way urological cancers are diagnosed and gr...

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. ...