Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (GRU), were used to construct the clinical prognostic prediction models for peritoneal dialysis (PD) patients based on routine clinical data. The performance of the RNN and GRU were compared with logistic regression (LR), which is commonly used in medical researches. The possible underlining clinical...
PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignant until proven otherwise and there is substantial overlap in the imaging findings of benign and malignant renal masses, particularly between clear cell RCC (ccRCC) and benign oncocytoma (ONC). Radiomics has attracted increased attention for its utility in pre-operative work-up on routine clinical im...
This article describes a worm-like soft robot capable of operating in complicated tubular environments, such as the complex pipeline with different di...
The failure to predict kidney toxicity of new chemical entities early in the development process before they reach humans remains a critical issue. He...
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate ...
OBJECTIVE: Robot assisted partial nephrectomy (RAPN) is a minimally invasive option for patients with small renal masses undergoing partial nephrectom...
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade...
RATIONALE: Accumulating evidence implicates inflammation in pulmonary arterial hypertension (PAH) and therapies targeting immunity are under investiga...
Recently, robot-assisted laparoscopic prostatectomy (RALP) has become a widely accepted surgical alternative for the treatment of prostate cancer. The...
PURPOSE: To investigate the effect of robot assisted laparoscopic radical prostatectomy (RALP) and open retropubic radical prostatectomy (RRP) on earl...
Due to demographic change the number of serious kidney diseases and thus required transplantations will increase. The increased demand for donor organ...
INTRODUCTION: The aim of this study was to investigate the effects of vitamin D deficiency on insulin resistance in patients with non-diabetic chronic...
Allogeneic hematopoietic stem cell transplantation (AHSCT) is a major method of treatment for different hematologic and congenital disease. Graft vers...
AIM: Analysis of etiology, clinical and morphological manifestations, approaches to therapy and prognosis of membranoproliferative glomerulonephritis ...
We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiom...
PURPOSE: Nuclear pleomorphic patterns are essential for Fuhrman grading of clear cell renal cell carcinoma (ccRCC). Manual observation of renal histop...
BACKGROUND: S-1 plus cisplatin(CDDP)has been a key regimen for advanced gastric cancer treatment. However, CDDP confers dose-limiting nephrotoxicity, ...
A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was pathologically diagnosed as Stage â…¢A. Preoperative...