Latest AI and machine learning research in copd for healthcare professionals.
Accurate assessment of pulmonary emphysema is crucial to assess disease severity and subtype, to mon...
Manual annotation is considered to be the "gold standard" in medical imaging analysis. However, medi...
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic app...
Lung densitometry is being frequently adopted in CT-based emphysema quantification, yet known to be ...
This article investigates the classification of normal and COPD subjects on the basis of respiratory...
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle ce...
BACKGROUND: Modern molecular profiling techniques are yielding vast amounts of data from patient sam...
A novel NIR (near infrared) active photothermal agent, CNTs-PAMAM-AgS has been synthesized by covale...
The interpretation of pulmonary function tests (PFTs) to diagnose respiratory diseases is built on e...
Patch clamping is the gold standard measurement technique for cell-type characterization in vivo, bu...
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute...
The use of Electronic Health Records (EHR) for translational research can be challenging due to diff...
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmis...
PURPOSE: In radiation therapy, a key step for a successful cancer treatment is image-based treatment...
OBJECTIVE: Spirometry, as the gold standard approach in the diagnosis of chronic obstructive pulmona...
BACKGROUND: Disease comorbidity is very common and has significant impact on disease treatment. Reve...
Automated tissue classification is an essential step for quantitative analysis and treatment of emph...
Cortisol is known as a stress biomarker. The measurement of cortisol levels is an early warning indi...
OBJECTIVES: To develop a health economic model that included a great diversity of patient characteri...
Sensitive detection of carcinoembryonic antigen (CEA) is very important for early detection and canc...
In this work, a novel and sensitive photoelectrochemical (PEC) strategy was designed for protein kin...