Nephrology

Artificial Intelligence in Kidney Cancer.

Artificial intelligence is rapidly expanding into nearly all facets of life, particularly within the...

Quantitative endoscopic photoacoustic tomography using a convolutional neural network.

Endoscopic photoacoustic tomography (EPAT) is a catheter-based hybrid imaging modality capable of pr...

Feasibility of salvage robotic partial nephrectomy after ablative treatment failure (UroCCR-62 study).

BACKGROUND: Ablative therapies (AT) are increasingly being offered to patients with kidney tumors. I...

Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.

IMPORTANCE: Automated deep learning (DL) analyses of fundus photographs potentially can reduce the c...

[Robot-assisted partial nephrectomy with selective ischemia].

INTRODUCTION: Clamping of the renal artery during partial nephrectomy leads to renal ischemia and a ...

Use of artificial intelligence to characterize renal tumors.

Robotic Kidney Transplant: The Modern Era Technical Revolution.

Since the mid 20th century, transplantation has been a fast-developing field of contemporary medicin...

Artificial intelligence: is there a potential role in nephropathology?

The synergism of spatial metabolomics and morphometry improves machine learning-based renal tumour subtype classification.

Robot-Assisted Laparoscopic Distal Ureteroureterostomy for Distal Benign Ureteral Strictures with Long-Term Follow-Up.

To demonstrate feasibility of robot-assisted laparoscopic (RAL) ureteroureterostomy (UU) for benign...

A Deep Learning Program to Predict Acute Kidney Injury.

Acute kidney injury is a dangerous and sometime fatal clinical situation, which can cause irreversib...

Efficacy of Mandarin Crust Oil, Marigold Extract and Their Nanoemulsions, on (Boisd.) Larvae.

<b>Background and Objective:</b> In recent years, nanoemulsions have been used to target...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

Deep learning model-assisted detection of kidney stones on computed tomography.

INTRODUCTION: The aim of this study was to investigate the success of a deep learning model in detec...

Assessment of Feasibility of Robot-assisted Radical Cystectomy in Patients With Advanced Bladder Cancer Treated With Maintenance Hemodialysis Therapy.

BACKGROUND/AIM: To clarify the perioperative and oncological outcomes of robot-assisted radical cyst...

Impact of deep learning-based image reconstruction on image quality compared with adaptive statistical iterative reconstruction-Veo in renal and adrenal computed tomography.

OBJECTIVE: To evaluate image quality of deep learning-based image reconstruction (DLIR) in contrast-...

Correlation among cystatin C, homocysteine and arteriosclerosis indexes in patients with chronic kidney disease.

OBJECTIVES: Chronic kidney disease (CKD) has become an important public health problem in the world....

Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics.

MOTIVATION: Motions of transmembrane receptors on cancer cell surfaces can reveal biophysical featur...

Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...

Cell death analysis of recombinant mature epsilon toxin on the kidney cell line.

BACKGROUND AND OBJECTIVES: Epsilon toxin is the third hazardous bacterial toxin causing ABS enteroto...

Robot-assisted kidney transplantation: State of art.

OBJECTIVES: Nowadays, Robotic assistedkidney transplantation (RAKT) is considered a lessinvasive alt...