Nephrology

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

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Antihypertensive prescribing patterns in non-dialysis dependent chronic kidney disease: Findings from the Salford Kidney Study.

BACKGROUND: Hypertension is commonly observed in patients living with chronic kidney disease (CKD). ...

[The Use of Platinum-Based Chemotherapy for Esophageal Cancer Patients with Impaired Renal Function].

INTRODUCTION: The key drugs of first-line chemotherapy for metastatic esophageal cancer are 5-FU and...

[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...

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...

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 ...

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from r...

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...

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...

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...

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...

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...

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...

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...

[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...

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...

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 ...

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