Results 241 to 250 of about 1,655,494 (303)
Kidney Stone History and Survival Outcomes in Upper Tract Urothelial Carcinoma.
Jong BE +7 more
europepmc +1 more source
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Deep learning model for automated kidney stone detection using coronal CT images
Computers in Biology and Medicine, 2021Kidney stones are a common complaint worldwide, causing many people to admit to emergency rooms with severe pain. Various imaging techniques are used for the diagnosis of kidney stone disease.
Kadir Yildirim +2 more
exaly +2 more sources
Determining the true burden of kidney stone disease
Nature Reviews Nephrology, 2020Charat Thongprayoon +2 more
exaly +2 more sources
Seminars in Nephrology, 2021
In recent years, the use of opioids in medical practice has come under significant scrutiny. This, in part, is owing to evidence of overprescription and overuse of opioid medications, as well as the unintended consequences and side effects for patients who take these medications.
Christina, Kottooran +4 more
openaire +2 more sources
In recent years, the use of opioids in medical practice has come under significant scrutiny. This, in part, is owing to evidence of overprescription and overuse of opioid medications, as well as the unintended consequences and side effects for patients who take these medications.
Christina, Kottooran +4 more
openaire +2 more sources
Artif. Intell. Medicine, 2022
Kidney stone is a commonly seen ailment and is usually detected by urologists using computed tomography (CT) images. It is difficult and time-consuming to detect small stones in CT images.
M. Baygin +5 more
semanticscholar +1 more source
Kidney stone is a commonly seen ailment and is usually detected by urologists using computed tomography (CT) images. It is difficult and time-consuming to detect small stones in CT images.
M. Baygin +5 more
semanticscholar +1 more source
Journal of Affective Disorders, 2022
BACKGROUND To investigate whether depression increases the kidney stone risk. METHODS First, we performed an observational study in the National Health and Nutrition Examination Survey (NHANES) 2007-2018.
Menghua Wang +5 more
semanticscholar +1 more source
BACKGROUND To investigate whether depression increases the kidney stone risk. METHODS First, we performed an observational study in the National Health and Nutrition Examination Survey (NHANES) 2007-2018.
Menghua Wang +5 more
semanticscholar +1 more source
Current Opinion in Nephrology and Hypertension, 2020
Kidney stones are a common and preventable disorder. Certain occupations may increase risk for stone disease which will be discussed in this review. Few observational studies have examined this association.Some occupations prevent individuals from drinking enough fluids to maintain a dilute urine or to void when they need to.
Deepa A, Malieckal, David S, Goldfarb
openaire +2 more sources
Kidney stones are a common and preventable disorder. Certain occupations may increase risk for stone disease which will be discussed in this review. Few observational studies have examined this association.Some occupations prevent individuals from drinking enough fluids to maintain a dilute urine or to void when they need to.
Deepa A, Malieckal, David S, Goldfarb
openaire +2 more sources
Medical Hypotheses, 1991
Although many risk factors and theories exist in the literature for urinary stone formation, a hypothesis is suggested for the pathogenesis of renal stones. According to the matrix theory, a protein such as uromucoid activates the initial crystallisation process by promoting the formation of calcium oxalate and calcium phosphate crystals as well as ...
C H, van Aswegen, D J, du Plessis
openaire +2 more sources
Although many risk factors and theories exist in the literature for urinary stone formation, a hypothesis is suggested for the pathogenesis of renal stones. According to the matrix theory, a protein such as uromucoid activates the initial crystallisation process by promoting the formation of calcium oxalate and calcium phosphate crystals as well as ...
C H, van Aswegen, D J, du Plessis
openaire +2 more sources
Automated Detection of Kidney Stone Using Deep Learning Models
2022 2nd International Conference on Intelligent Technologies (CONIT), 2022Kidney stone is the most common disease nowa-days. Proper diagnosis of the disease is required to cure and lead a healthy lifestyle. Various methods are posed for kidney stone detection using different imaging techniques. This paper proposes an automated
M. B, Neethu Mohan, S. S., S. P
semanticscholar +1 more source

