Latest AI and machine learning research in copd for healthcare professionals.
A robust lung segmentation method using a deep convolutional neural network (CNN) was developed and ...
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and the...
OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging du...
Pediatric sleep apnea-hypopnea syndrome (SAHS) is a highly prevalent breathing disorder that is rela...
Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or ...
Although self-report pain ratings are the gold standard in clinical pain assessment, they are inhere...
In this study, a sensitive and accurate aptasensor was designed for early detection of myocardial in...
The effects of ( ; PO) on total and differential WBC count, and oxidant/antioxidant biomarkers in b...
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD)...
BACKGROUND: The coexistence of chronic obstructive pulmonary disease (COPD) and obstructive sleep ap...
INTRODUCTION: Smoking is the leading cause of chronic obstructive pulmonary disease (COPD) and cotin...
INTRODUCTION: YKL-40 is a glycoprotein that plays role in inflammation and malignant processes. High...
AIM: To determine the effects of menopausal hormone therapy dosage on levels of proinflammatory cyto...
This paper presents the development and real-time testing of an automated expert diagnostic teleheal...
Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted ...
This study aimed to compare shallow and deep learning of classifying the patterns of interstitial lu...
Prior work has shown that smartphone spirometry can effectively measure lung function using the phon...
According to a study [1] by the Ministry of Health in Singapore, since 2009, cancer, ischaemic heart...
In this work, the degradation of Remazol Yellow Gold RNL-150% and Reactive Turquoise Q-G125 were inv...
Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited ...
In this paper, a deep learning method has been raised to build an automatic classification algorithm...