Latest AI and machine learning research in copd for healthcare professionals.
OBJECTIVE: To evaluate whether incorporating baseline sleep measures from a wrist-worn activity monitor in machine learning (ML) models improved the prediction of 12-week engagement with home-based pulmonary rehabilitation (HBPR) in patients with chronic obstructive pulmonary disease (COPD). PATIENTS AND METHODS: Among participants with a prior COPD exacerbation (n=124), sleep measures were collec...
Large language models (LLMs) are poised to become a ubiquitous feature of everyday life, mediating communication, decision making, and information curation across nearly every domain. Within psychiatry and psychology, the attention has largely been on bespoke therapeutic applications, sometimes narrowly focused and often diagnostically siloed, rather than on the broader reality that individuals wi...
BACKGROUND: Growth of generative artificial intelligence (GenAI) has exploded in recent years. Many have noted its substantial potential to increase a...
PURPOSE: To develop and compare machine learning-based risk prediction models to identify patients at risk for short-term adverse outcomes (overnight ...
The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a unique educational platform exploring the evolving...
The global burden of Parkinson's disease (PD) is projected to double by 2050, with early-onset cases demonstrating accelerated progression and limited...
Chiral recognition sensing is pivotal in pharmaceutical synthesis and biomedical applications, yet three key challenges persist: the inability to simu...
BACKGROUND: Among individuals with a history of smoking but preserved spirometry (tobacco exposed with preserved spirometry, or TEPS), lung volume-bas...
OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reconstruction (DLIR) in the diagnosis of pulmonary no...
Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and the identification of circulating tumor DNA (ctDN...
BACKGROUND: Cardiorespiratory fitness (CRF) is a key predictor of cardiovascular and other health-related diseases in individuals with obesity. CRF is...
Biothiols play pivotal roles in maintaining cellular redox homeostasis, where even minor concentration fluctuations can critically affect physiologica...
Over the past decade, Investigative Radiology has published numerous studies that have fundamentally advanced the field of thoracic imaging. This revi...
Computed tomography (CT) is routinely used in diagnosing and managing patients with chronic lung diseases such as chronic obstructive pulmonary diseas...
AIM: To evaluate the value of machine learning in assessing intraoperative blood loss by comparing associated outcomes with those of the gold standard...
INTRODUCTION: Type 1 diabetes mellitus (T1D) requires precise carbohydrate estimation to manage blood glucose and prevent chronic and acute complicati...
Medium-sized gold-silver clusters have been relatively underexplored due to the computational complexities associated with density functional theory (...
Polysaccharide-functionalized metallic nanoparticles (MFNPs), including gold (Au), silver (Ag), and iron oxide (Fe3O4), have emerged as promising nano...
BACKGROUND: Chronic diseases pose a heavy global burden, with challenges in utilizing unstructured data for continuous care. Natural language intellig...
Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respiratory disease screening suitable for self-managem...