AIMC Topic: Kidney

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

Current opinion in nephrology and hypertension
PURPOSE OF REVIEW: The field of pathology is currently undergoing a significant transformation from traditional glass slides to a digital format dependent on whole slide imaging. Transitioning from glass to digital has opened the field to development...

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

Transplantation proceedings
BACKGROUND: Prostate cancer (PCa) has increased as a long-term outcome of advanced immunosuppression in renal transplant recipients (RTRs). Retzius-sparing robot-assisted radical prostatectomy (Rs-RARP) is reportedly less time-consuming and has a hig...

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

Ultrasonics
Accurate segmentation of kidney in ultrasound images is a vital procedure in clinical diagnosis and interventional operation. In recent years, deep learning technology has demonstrated promising prospects in medical image analysis. However, due to th...

Identification of glomerulosclerosis using IBM Watson and shallow neural networks.

Journal of nephrology
BACKGROUND: Advanced stages of different renal diseases feature glomerular sclerosis at a histological level which is observed by light microscopy on tissue samples obtained by performing a kidney biopsy. Computer-aided diagnosis (CAD) systems levera...

Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Journal of the American Society of Nephrology : JASN
BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD b...

Introducing robot-assisted laparoscopic donor nephrectomy after experience in retroperitoneal endoscopic approach: a matched propensity score analysis.

ANZ journal of surgery
OBJECTIVES: To assess the safety and efficacy of introducing robotic-assisted laparoscopic donor nephrectomy (RALDN) to the standard retroperitoneal endoscopic donor nephrectomy (REDN).

MBANet: Multi-branch aware network for kidney ultrasound images segmentation.

Computers in biology and medicine
Due to the influence of kidney morphology, heterogeneous structure and image quality, segmenting kidney in ultrasound images is challenging. To alleviate this challenge, we proposed a novel deep neural network architecture, namely Multi-branch Aware ...

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.

Clinical journal of the American Society of Nephrology : CJASN
BACKGROUND AND OBJECTIVES: The prognosis of patients undergoing kidney tumor resection or kidney donation is linked to many histologic criteria. These criteria notably include glomerular density, glomerular volume, vascular luminal stenosis, and seve...