Latest AI and machine learning research in copd for healthcare professionals.
Fast and simple detection of C-reactive protein (CRP) is highly significant for the diagnosis and pr...
Facilitating the identification of extreme inactivity (EI) has the potential to improve morbidity an...
Computed tomographic pulmonary angiography (CTPA) is the gold standard for pulmonary embolism (PE) d...
Epidemiological studies have revealed the associations of air pollutants and meteorological factors ...
Heterogeneous clinical manifestations and progression of chronic obstructive pulmonary disease (COPD...
This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle h...
Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multi...
Iodine-131 -iodobenzylguanidine (I-IBG) has been utilized as a standard treatment to minimize advers...
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including var...
Surface enhanced Raman spectroscopy (SERS) is an attractive means for trace compound detection becau...
Recombinant human interferon α2b (rhIFNα2b) is widely used as an antiviral therapy agent for the tre...
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous group of lung conditions...
In this study, a facile and environmentally friendly synthesis process was proposed without regular ...
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by high-r...
Procalcitonin (PCT) ( a precursor of calcitonin) attracts much attention as a reliable biomarker of ...
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 ...
INTRODUCTION: Deep learning (DL) is used to classify, detect, and quantify gold nanoparticles (AuNPs...
Chronic airway diseases are characterized by airway inflammation, obstruction, and remodeling and sh...
OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmona...
The application of machine learning and artificial intelligence techniques in the medical world is g...
OBJECTIVES: To develop a deep learning-based pulmonary vessel segmentation algorithm (DLVS) from non...