Nephrology

Validating the Health Benefits of Coffee Berry Pulp Extracts in Mice with High-Fat Diet-Induced Obesity and Diabetes.

The effects of coffee ( L.) berry pulp extracts (CBP extracts) on the improvement of diabetes, obesi...

A method of bedside urethrography before catheterization in pelvic trauma in Korea: a case report.

We introduce a convenient method of urethrography before catheterization for patients with pelvic tr...

Predictive Value of Camera-based Donor Glomerular Filtration Rate Estimation on the Immediate Renal Allograft Outcome Following Live-related Renal Transplant: A Single-center Retrospective Study.

PURPOSE OF THE STUDY: The purpose of this study was to assess the association of measured glomerular...

Precision Hypertension.

Hypertension affects >1 billion people worldwide. Complications of hypertension include stroke, rena...

Empagliflozin and Rapid Kidney Function Decline Incidence in Type 2 Diabetes: An Exploratory Analysis From the EMPA-REG OUTCOME Trial.

RATIONALE & OBJECTIVE: Kidney function progressively declines in most patients with type 2 diabetes ...

Evaluation of Gabapentin and Pregabalin Use in Hospitalized Patients With Decreased Kidney Function.

Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...

Is generative artificial intelligence the next step toward a personalized hemodialysis?

Artificial intelligence (AI) generative models driven by the integration of AI and natural language ...

Unexpectedly Prolonged Serotonin Syndrome and Fatal Complications Following a Massive Overdose of Paroxetine Controlled-Release.

Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can b...

A machine learning approach for quantifying age-related histological changes in the mouse kidney.

The ability to quantify aging-related changes in histological samples is important, as it allows for...

Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data.

BACKGROUND AND OBJECTIVE: Renal cell carcinoma represents a significant global health challenge with...

The Dawn of a New Era in Kidney Transplantation: Promises and Limitations of Artificial Intelligence for Precision Diagnostics.

Organic Pollutant Exposure and CKD: A Chronic Renal Insufficiency Cohort Pilot Study.

RATIONALE & OBJECTIVE: This study aimed to assess the effect of exposure to organic pollutants in ad...

Research on Rare Diseases in Germany - Using small fish and super-resolution microscopy to track down a rare disease.

BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is a rare disease, or damage to the filtering ...

Deep learning-based automated kidney and cyst segmentation of autosomal dominant polycystic kidney disease using single vs. multi-institutional data.

PURPOSE: This study aimed to investigate if a deep learning model trained with a single institution'...

Comparison of Percutaneous Renal Access Between Robot-Assisted Fluoroscopy Guidance Using the Bi-Plane Method and Ultrasound Guidance: A Multicenter Randomized Control Benchtop Study.

To evaluate the efficacy of supine percutaneous renal access by robot-assisted (RA) fluoroscopy and...

Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images.

Recent advancements in tissue imaging techniques have facilitated the visualization and identificati...

Evaluating the performance of large language models in haematopoietic stem cell transplantation decision-making.

In a first-of-its-kind study, we assessed the capabilities of large language models (LLMs) in making...

Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?

Medical applications of machine learning (ML) have shown promise in analyzing patient data to suppor...

A neural network model for rapid prediction of analyte focusing in isotachophoresis.

We present the development and demonstration of a neural network (NN) model for fast and accurate pr...

Retracted: Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia.

[This retracts the article DOI: 10.1155/2022/5823720.].

Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review.

PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to co...