Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury.

PURPOSE OF REVIEW: Acute kidney injury (AKI) affects nearly 60% of all patients admitted to ICUs. La...

Comparison of Perioperative Outcomes for Radical Nephrectomy Based on Surgical Approach for Masses Greater Than 10 cm.

Robot-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic...

Kidney Allocation Policy: Past, Present, and Future.

Despite an increase in the number of kidney transplants performed annually, there remain more than 9...

End to End Unsupervised Rigid Medical Image Registration by Using Convolutional Neural Networks.

In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ...

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses...

Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training.

Kidney biopsy interpretation is the gold standard for the diagnosis and prognosis for kidney disease...

Phenotypic Characterization of Chronic Kidney Patients Through Hierarchical Clustering.

Chronic kidney disease is a major public health problem around the world and this disease early diag...

Health-Related Quality of Life in Patients with Small Renal Mass Who Underwent Robot-Assisted Partial Nephrectomy: A Prospective Evaluation.

There have been insufficient data regarding the impact of partial nephrectomy (PN) with minimal inv...

Therapeutic monitoring of mycophenolic acid in renal transplanted patients by a validated HPLC method.

INTRODUCTION: Mycophenolate mofetil and its active metabolite mycophenolic acid are routinely used a...

Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

This article describes the results of feature extraction from unstructured medical records and predi...

ACTIVITY CONCENTRATION ESTIMATION IN AUTOMATED KIDNEY SEGMENTATION BASED ON CONVOLUTION NEURAL NETWORK METHOD FOR 177LU-SPECT/CT KIDNEY DOSIMETRY.

For 177Lu-DOTATATE treatments, dosimetry based on manual kidney segmentation from computed tomograph...

[Robot-Assisted Partial Nephrectomy for Renal Cell Carcinoma Complicated by Leriche Syndrome : A Case Report].

A 71-year-old man was referred to our hospital for treatment of a 2 cm-sized right renal mass incide...

Efficacy and safety of a switch from twice-daily tacrolimus to once-daily generic tacrolimus in stable liver transplant patients.

BACKGROUND: Once-daily tacrolimus reduces non-compliance relative to twice-daily tacrolimus. However...

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab e...

Robot-Assisted Radical Nephroureterectomy.

First proposed by Kimball and Ferris in 1933 for the treatment of papillary tumors in the upper urin...

Outcomes of Artificial Intelligence Volumetric Assessment of Kidneys and Renal Tumors for Preoperative Assessment of Nephron-Sparing Interventions.

Renal-cell carcinoma is the most common kidney cancer and the 13th most common cause of cancer deat...

Predicting Kidney Discard Using Machine Learning.

BACKGROUND: Despite the kidney supply shortage, 18%-20% of deceased donor kidneys are discarded annu...

[Automatic segmentation of kidney tumor based on cascaded multiscale convolutional neural networks].

The background of abdominal computed tomography (CT) images is complex, and kidney tumors have diffe...

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