Nephrology

Role of Intravenous Ascorbic Acid in the Management of Anemia in Hemodialysis Patients.

INTRODUCTION: Patients with end-stage kidney disease (ESKD) suffer from functional iron deficiency w...

Hyperuricemia and Impaired Renal Function: A Prospective Cohort Study.

BACKGROUND: Related studies have demonstrated a relationship of elevated serum uric levels with a de...

Long-term outcomes of minimally invasive surgeries in partial nephrectomy. Robot or laparoscopy?

BACKGROUND: To compare long-term oncological and renal functional outcomes of laparoscopic and robot...

Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with th...

Radiomic Detection of EGFR Mutations in NSCLC.

Radiomics is defined as the use of automated or semi-automated post-processing and analysis of multi...

Cognitive impairment in patients with moderate to severe chronic kidney disease: the Salford kidney cohort study.

BACKGROUND: Cognitive impairment in chronic kidney disease (CKD) is common and underrecognized [1, 2...

Calprotectin and Neutrophil Gelatinase-Associated Lipocalin As Biomarkers of Acute Kidney Injury in Acute Coronary Syndrome.

BACKGROUND: Acute kidney injury (AKI) is increasingly being seen in patients with acute coronary syn...

Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods.

PURPOSE: To develop and validate a deep learning and thresholding-based model for automatic kidney s...

Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning.

Machine learning (ML) has shown its potential to improve patient care over the last decade. In organ...

Feasibility of evaluation of the natural history of kidney disease in the general population using electronic healthcare records.

BACKGROUND: Knowledge about the nature of long-term changes in kidney function in the general popula...

Oxide-Based Electrolyte-Gated Transistors for Spatiotemporal Information Processing.

Spiking neural networks (SNNs) sharing large similarity with biological nervous systems are promisin...

Living Donor Liver Transplant: Send in the Robots.

A machine learning analysis of a "normal-like" IDH-WT diffuse glioma transcriptomic subgroup associated with prolonged survival reveals novel immune and neurotransmitter-related actionable targets.

BACKGROUND: Classification of primary central nervous system tumors according to the World Health Or...

Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase in...

Dyspnea, effort and muscle pain during exercise in lung transplant recipients: an analysis of their association with cardiopulmonary function parameters using machine learning.

BACKGROUND: Despite improvement in lung function, most lung transplant (LTx) recipients show an unex...

Feasibility, safety and efficacy of argon beam coagulation in robot-assisted partial nephrectomy for solid renal masses ≤ 7 cm in size.

One of the most important steps of the partial nephrectomy (PN) is hemostatic control of tumor bed w...

Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes.

Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk f...

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.

BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the i...

Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches.

Background Real-world healthcare data are an important resource for epidemiologic research. However,...

Acute kidney disease and long-term outcomes in critically ill acute kidney injury patients with sepsis: a cohort analysis.

BACKGROUND: Acute kidney injury (AKI) is frequent during hospitalization and may contribute to adver...

Deep learning quantification of percent steatosis in donor liver biopsy frozen sections.

BACKGROUND: Pathologist evaluation of donor liver biopsies provides information for accepting or dis...