Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Blood Pressure Assessment with Differential Pulse Transit Time and Deep Learning: A Proof of Concept.

BACKGROUND: Modern clinical environments are laden with technology devices continuously gathering ph...

Prevalence of Diabetic Retinopathy and Associated Mortality Among Diabetic Adults With and Without Chronic Kidney Disease.

PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with dia...

The future is coming: promising perspectives regarding the use of machine learning in renal transplantation.

INTRODUCTION: The prediction of post transplantation outcomes is clinically important and involves s...

[Hepatitis B and renal failure: prevalence and associated factors in National University Hospital Center of Cotonou].

INTRODUCTION: the association between the kidneys and hepatitis B is complex. This study aims to det...

Minimally invasive, robot-assisted procedure for kidney transplantation among morbidly obese: Positive outcomes at 5 years post-transplant.

The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. T...

Obesity and chronic kidney disease progression-the role of a new adipocytokine: C1q/tumour necrosis factor-related protein-1.

BACKGROUND: Obesity is a risk factor for incident chronic kidney disease (CKD) in the general popula...

Outcome of kidney function in adults on long-term home parenteral nutrition for chronic intestinal failure.

OBJECTIVE: The aim of this study was to evaluate kidney function outcome in adults on home parentera...

Progress in the Development and Challenges for the Use of Artificial Kidneys and Wearable Dialysis Devices.

BACKGROUND: Renal transplantation is the treatment of choice for chronic kidney disease (CKD) patien...

Diagnosis of T-cell-mediated kidney rejection in formalin-fixed, paraffin-embedded tissues using RNA-Seq-based machine learning algorithms.

Molecular diagnosis is being increasingly used in transplant pathology to render more objective and ...

Critically Ill Recipients of Weight-Based Fluconazole Meeting Drug-Induced Liver Injury Network Criteria.

Fluconazole-associated liver injury is estimated to occur in <10% of patients; however, effect of w...

Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for col...

Validation of a low-dose contrast 64-slice cardiac computed tomography angiography protocol for aortic valve annulus sizing.

Cardiac computed tomography angiography (CCTA) is the gold standard for accurately sizing the aortic...

Second branchial cleft anomalies in children: a literature review.

Branchial cleft anomalies are the second most common head and neck congenital lesions in children. I...

Machine learning reveals chronic graft--host disease phenotypes and stratifies survival after stem cell transplant for hematologic malignancies.

The application of machine learning in medicine has been productive in multiple fields, but has not ...

Wearable artificial kidney and wearable ultrafiltration device vascular access-future directions.

BACKGROUND: Since 2005, three human clinical trials have been performed with the Wearable Artificial...

A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.

BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized ...

Fibroblast growth factor23 is associated with axonal integrity and neural network architecture in the human frontal lobes.

Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with advers...

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