Nephrology

A Systematic Review and Meta-Analysis of Comparison of Outcomes of Robot-Assisted versus Open Partial Nephrectomy in Clinical T1 Renal Cell Carcinoma Patients.

INTRODUCTION: Robot-assisted partial nephrectomy (RAPN) has been increasingly used for renal cell carcinoma in recent years. But the advantages of RARN over open partial nephrectomy (OPN) are still controversial.

Effects of Irbesartan and Amlodipine Besylate Tablets on the Intestinal Microflora of Rats With Hypertensive Renal Damage.

The present study aimed to investigate the effects of irbesartan and amlodipine besylate tablets on the intestinal microflora of rats with hypertensive renal damage. Eighteen 12-week-old male spontaneous hypertensive rats were randomly divided into three groups. The Ai-HDG group was given irbesartan at 15 mg/kg per day by gavage, the Ci-HDG group was given amlodipine besylate tablets at 1 mg/kg ...

Re: Robotic Kidney Transplantation with Regional Hypothermia Versus Open Kidney Transplantation for Patients with End Stage Renal Disease: An Ideal Stage 2B Study.

Comparison of surgical outcomes and split renal function between laparoscopic and robot-assisted partial nephrectomy: a propensity score-matched analysis.

PURPOSE: The objective of this study was to compare perioperative outcomes and total and split renal function between laparoscopic partial nephrectomy...

Robot-assisted kidney transplantation as a minimally invasive approach for kidney transplant recipients: A systematic review and meta-analyses.

BACKGROUND: Robot-assisted kidney transplantation (RAKT) has emerged as an alternative for kidney transplant recipients with the potential benefits of...

Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Patient similarity learning has attracted great research interest in biomedical informatics. Correctly identifying the similarity between a given pati...

The potential of artificial intelligence-based applications in kidney pathology.

PURPOSE OF REVIEW: The field of pathology is currently undergoing a significant transformation from traditional glass slides to a digital format depen...

Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.

Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is d...

Effectiveness of Retzius-Sparing Robot-Assisted Radical Prostatectomy in a Renal Transplant Recipient: a Case Report.

BACKGROUND: Prostate cancer (PCa) has increased as a long-term outcome of advanced immunosuppression in renal transplant recipients (RTRs). Retzius-sp...

Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.

Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis. However, the injection of embolic agents largely...

Robot-Assisted Kidney Transplantation: Initial Experience with a Modified Hypothermia Technique.

INTRODUCTION: The aim of the study was to report our initial experience of robot-assisted kidney transplantation (RAKT) with a modified hypothermia te...

Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the leading cause of human death. Since it is difficult fo...

Feasibility of interaortocaval clamping for renal artery during robot-assisted right partial nephrectomy: A propensity score-matching analysis.

AIM: To evaluate the impact of the interaortocaval clamping technique for the right renal artery on perioperative outcomes of patients who underwent r...

CT2US: Cross-modal transfer learning for kidney segmentation in ultrasound images with synthesized data.

Accurate segmentation of kidney in ultrasound images is a vital procedure in clinical diagnosis and interventional operation. In recent years, deep le...

Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.

PURPOSE: Non-small cell lung cancer (NSCLC) tends to metastasize to the brain. Between 10 and 60% of NSCLCs harbor an activating mutation in the epide...

Posterior transperitoneal robot-assisted partial nephrectomy in the treatment of renal tumors: Feasibility of a hybrid approach.

PURPOSE: Robot-assisted partial nephrectomy (RAPN) for posterior renal tumors may be performed through anterior (transperitoneal) or posterior (retrop...

Off-clamp robot-assisted partial nephrectomy for purely hilar tumors: Technique, perioperative, oncologic and functional outcomes from a single center series.

OBJECTIVES: Purely hilar lesions and those abutting the main renal artery or vein may be significantly different in terms of surgical complexity, requ...

Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.

This study was aimed at analyzing the diagnostic value of convolutional neural network models on account of deep learning for severe sepsis complicate...

Association of Evaluated Glomerular Filtration Rate and Incident Diabetes Mellitus: A Secondary Retrospective Analysis Based on a Chinese Cohort Study.

BACKGROUND: Previous studies have revealed that chronic kidney disease (CKD) is a significant risk factor for insulin resistance and diabetes. However...

The Design of Adolescents' Physical Health Prediction System Based on Deep Reinforcement Learning.

According to the general recognition in the first half of the last century, hypertension was not considered a kind of disease, but was regarded as a c...