Nephrology

End Stage Renal Disease

Latest AI and machine learning research in end stage renal disease for healthcare professionals.

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 442-462 of 3,387 articles
Applications of deep learning to the assessment of red blood cell deformability.

BACKGROUND: Measurement of abnormal Red Blood Cell (RBC) deformability is a main indicator of Sickle...

A Case of Dapsone-induced Mild Methemoglobinemia with Dyspnea and Cyanosis.

Dear Editor, Dapsone is a dual-function drug with antimicrobial and antiprotozoal effects and anti-i...

Automatic Extraction of Risk Factors for Dialysis Patients from Clinical Notes Using Natural Language Processing Techniques.

Studies have shown that mental health and comorbidities such as dementia, diabetes and cardiovascula...

Machine learning in nephrology: scratching the surface.

Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases....

Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?

Digitization of healthcare will be a major innovation driver in the coming decade. Also, enabled by ...

Considerations for advancing nephrology research and practice through natural language processing.

Much of medical data is buried in the free text of clinical notes and not captured by structured dat...

Postoperative changes of the free pericardial fat pad for bronchial stump coverage.

BACKGROUND: Bronchopleural fistula (BPF) remains a serious complication after surgery for lung cance...

Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Advanced chronic kidney disease (CKD) requires routine renal replacement therapy (RRT) that involves...

Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis.

Kidney transplantation is recommended for patients with End-Stage Renal Disease (ESRD). However, com...

[Application of recurrent neural network in prognosis of peritoneal dialysis].

OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (...

Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre ...

Correlation of Parathyroid Hormone Levels with Mineral Status in End-stage Renal Disease Patients.

UNLABELLED: Parathyroid hormone (PTH) is the main regulator of calcium, phosphate, magnesium, sodium...

[The gender features of disorders of composition of lipids of blood serum in patients with chronic pathology of kidneys.].

The purpose of the study was to investigate gender features of abnormalities of blood serum lipid co...

Robotic Repair of Supratrigonal Vesicovaginal Fistula with Sigmoid Epiploica Interposition.

INTRODUCTION AND HYPOTHESIS: In the United States, vesicovaginal fistula (VVF) most often results fr...

[Establishment of New Zealand rabbit models of aplastic anemia].

OBJECTIVE: To screen for the optimal dose of benzene and cyclophosphamide using an orthogonal design...

Risk Factors for Elevated Preoperative Alkaline Phosphatase in Patients with Refractory Secondary Hyperparathyroidism.

Elevated preoperative levels of alkaline phosphatase (ALP) in patients with refractory secondary hyp...

Near total parathyroidectomy for the treatment of renal hyperparathyroidism.

BACKGROUND: Different surgical strategies are used to treat medical refractory renal hyperparathyroi...

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