Latest AI and machine learning research in nephrology for healthcare professionals.
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children...
BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that re...
This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scan...
Machine learning applied to digital pathology has been increasingly used to assess kidney function a...
Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease ...
T3a renal masses include a diverse group of tumors that invade the perirenal and/or sinus fat, pelv...
: Multiple factors are associated with postoperative functional outcomes, such as acute kidney injur...
OBJECTIVE: To determine whether we can surpass the traditional R.E.N.A.L. nephrometry score (H-score...
RATIONALE AND OBJECTIVES: Accurately assessing epidermal growth factor receptor (EGFR) mutation stat...
PURPOSE: To compare the oncological and perioperative outcomes of robot-assisted partial nephrectomy...
The purpose of this study was to evaluate perioperative outcomes of robot-assisted partial nephrecto...
OBJECTIVE: Heart failure, respiratory failure and kidney failure are three severe organ failures (OF...
CONTEXT: Continuous blood pressure (BP) monitoring plays an important role while treating various ca...
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...
Robot-assisted partial nephrectomy (RAPN) is increasingly being used for the complex surgical manage...
Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning te...
Extracting valuable information from the overflowing data is a critical yet challenging task. Dealin...
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency D...
BACKGROUND: The detection of epidermal growth factor receptor (EGFR) mutations in patients with non-...
OBJECTIVES: To develop and validate a CT-based deep learning radiomics nomogram (DLRN) for outcome p...
Use deep learning (DL) to automate the measurement and tracking of kidney stone burden over serial ...