Nephrology

Prediction of all-cause mortality for chronic kidney disease patients using four models of machine learning.

BACKGROUND: The prediction tools developed from general population data to predict all-cause mortali...

Deep learning automation of MEST-C classification in IgA nephropathy.

BACKGROUND: Although the MEST-C classification is among the best prognostic tools in immunoglobulin ...

Artificial intelligence, machine learning, and deep learning in liver transplantation.

Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. ...

Robot-assisted laparoscopic enucleation in the treatment of leiomyosarcoma of urinary bladder: A case report.

Leiomyosarcoma of urinary bladder (LMS-UB) is a highly malignant mesenchymal tumor, accounting for l...

Preliminary Experience of Partial Nephrectomy Through a New Single-Port Surgical Robot System.

To explore the preliminary safety and efficacy of the Shurui single-port (SP) surgical robot in par...

[A Case of Refractory Lymphatic Leakage after Robot-Assisted Radical Cystectomy].

A 78-year-old male visited the referring hospital because of asymptomatic gross hematuria. The patie...

[Pre-Operative Factors Affecting Trifecta Achievement in the Initial Series of Robot-Assisted Partial Nephrectomy].

We investigated pre-operative factors affecting trifecta achievement in robot-assisted partial nephr...

Outcomes of Robot-Assisted Laparoscopic Pyeloplasty Based on Degree of Obstruction on Preoperative Tc-99 MAG-3 Renal Scintigraphy.

Management of symptomatic ureteropelvic junction (UPJ) obstruction with hydronephrosis and discorda...

Robot-assisted modified bilateral dismembered V-shaped flap pyeloplasty for ureteropelvic junction obstruction in horseshoe kidney using KangDuo-Surgical-Robot-01 system.

PURPOSE: Horseshoe kidney (HSK) is the most common renal fusion anomaly, occurring in 0.25% of the p...

Robot-assisted partial nephrectomy for large complex renal cancer: step-by-step segmental artery unclamping.

INTRODUCTION: Main renal artery clamping and selective arterial clamping are two conventional devasc...

A novel method for conformity assessment testing of dialysis machines for post-market surveillance purposes.

BACKGROUND: Dialysis machines are used regularly in healthcare practice. They are classified as a ty...

Review of Artificial Intelligence-Based Signal Processing in Dialysis: Challenges for Machine-Embedded and Complementary Applications.

Artificial intelligence technology is trending in nearly every medical area. It offers the possibili...

Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis.

Cardiovascular morbidity and mortality occur with an extraordinarily high incidence in the hemodialy...

A knowledge-based decision support system for inferring supportive treatment recommendations for diabetes mellitus.

BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, ...

[COMPARING LAPAROSCOPIC AND ROBOT-ASSISTED PYELOPLASTY FOR URETERO-PELVIC JUNCTION OBSTRUCTION: INITIAL EXPERIENCE FROM A SINGLE CENTER].

(Objective) To compare the initial results of robot-assisted laparoscopic pyeloplasty (RALP) and lap...

Continuous Renal Replacement Therapy: What Have We Learned And What Are Key Milestones For The Years To Come?

Continuous renal replacement therapy (CRRT) is the main extracorporeal kidney support therapy used i...

Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.

PURPOSE: Acute kidney injury (AKI) is a common complication and associated with a poor clinical outc...

Artificial intelligence in peritoneal dialysis: general overview.

OBJECTIVE: This article is a general overview about artificial intelligence/machine learning (AI/ML)...

Estimation of Mycophenolic Acid Exposure in Chinese Renal Transplant Patients by a Joint Deep Learning Model.

BACKGROUND: To predict mycophenolic acid (MPA) exposure in renal transplant recipients using a deep ...

Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the inten...

Comment on: "Are nephrometry scores accurate for the prediction of outcomes in patients with renal angiomyolipoma treated with robot-assisted partial nephrectomy? A multi-institutional analysis." The point of view by J-ERUS/YAU Working Group on Robot-Assisted Surgery.