Nephrology

Initial experience with robot-assisted ureteroscopy with Ily® Robot.

The aim of this study is to present the first Italian experience with robotic-assisted retrograde in...

[Application progress of machine learning in kidney disease].

Kidney disease affects a large number of people around the world, imposing a significant burden to p...

Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies.

BACKGROUND: Interstitial inflammation and peritubular capillaritis are observed in many diseases on ...

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound.

PURPOSE: Hydronephrosis is a common pediatric urological condition, characterized by dilation of the...

Can artificial intelligence predict the need for acute renal replacement therapy among inpatients with acute kidney injury?

Can Simplified PADUA Renal (SPARE) Nephrometry scoring system help predict renal function outcomes after robot-assisted partial nephrectomy? (UroCCR study 93).

BACKGROUND: The SPARE Nephrometry Score (NS) is described as easier to implement than the RENAL and ...

A systematic review of artificial intelligence algorithms for predicting acute kidney injury.

OBJECTIVE: Acute kidney injury (AKI) increases mortality and costs in hospitalized patients. New met...

Critical Appraisal on the Role of Warfarin in the Current Era.

Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60...

Assessment of Biomedical Waste Generation in Dialysis Units: A Prospective Observational Study-Is it Time for "Green Dialysis"?

: Chronic kidney disease and as a consequence end-stage kidney disease (EKSD) is increasing globally...

Prediction of intradialytic hypotension using pre-dialysis features-a deep learning-based artificial intelligence model.

BACKGROUND: Intradialytic hypotension (IDH) is a serious complication of hemodialysis (HD) that is a...

Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.

Clear cell renal cell carcinoma (ccRCC) is molecularly heterogeneous, immune infiltrated, and select...

Robotic partial nephrectomy for renal tumor: The pentafecta outcomes of a single surgeon experience.

PURPOSE: This study investigated the oncological and functional surgical outcomes for patients with ...

How far has robot-assisted partial nephrectomy reached?

Nephron-sparing surgery is the standard treatment for small renal mass (SRM). Nephron-sparing surger...

[Robot-assisted left-side partial nephrectomy with a segmental resection of left lower ureter and Boari reconstruction].

Renal cell carcinoma (RCC) accounts for more than 90% of cases of malignant kidney tumors and repres...

Development of the Biomech-Wrist: A 3-DOF Exoskeleton for Rehabilitation and Training of Human Wrist.

This work describes a three-degrees-of-freedom rehabilitation exoskeleton robot for wrist articulati...

Humoral Response After Two Doses of COVISHIELD Vaccine in Patients Undergoing Maintenance Hemodialysis.

OBJECTIVES: Maintenance hemodialysis (MHD) patients are at increased risk of contracting coronavirus...

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...

Rapid Determination of Polysaccharides in Cistanche Tubulosa Using Near-Infrared Spectroscopy Combined with Machine Learning.

BACKGROUND: Cistanche tubulosa, as a homology of medicine and food, not only has a unique medicinal ...

Retroperitoneal robot-assisted laparoscopic nephroureterectomy using the da Vinci Xi and SP systems: Initial experiences in cadaveric models.

PURPOSE: To investigate the feasibility and optimal port placements of robot-assisted laparoscopic n...

Artificial Intelligence Assisted Multi-modal Photoacoustic-Ultrasound Imaging for Studying Renal Tissue Function and Hemodynamics.

Combined functional-anatomic imaging modalities, which integrate the benefits of visualizing gross a...

A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images.

Ultrasound (US) imaging is a widely used medical imaging modality for the diagnosis, monitoring, and...