Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for...
Recommended practices that follow match-run sequences for hard-to-place kidneys succumb to many decl...
Renal cell carcinoma is among major causes of death in patients with Von Hippel-Lindau (VHL) syndrom...
INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prena...
Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...
The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evalua...
BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in mak...
Duplex kidney and ureter is a congenital malformation. Few patients present with hydronephrosis caus...
PURPOSE OF REVIEW: There are very few data on patients undergoing robot-assisted partial nephrectomy...
Delayed surgical reconstruction of iatrogenic ureteral injuries is often a challenging procedure bec...
BACKGROUND: Acute kidney injury (AKI) is independently associated with morbidity and mortality in a ...
Large skin defects caused by accidents or disease can cause fluid loss, water and electrolyte disord...
Due to the increasing prevalence of chronic kidney disease and its high mortality rate, study of ris...
As robotic-assisted (RAL) surgery expanded to treat pediatric congenital disease, infant anatomy and...
Large slice thickness or slice increment causes information insufficiency of Computed Tomography (CT...
Analysis of medical images, such as radiological or tissue specimens, is an indispensable part of me...
Artificial intelligence is playing an increasingly important role in many fields of clinical care to...
BACKGROUND: This study aimed to explore the appropriate location of renal tumors for retroperitoneal...
The goal of this study was to assess the feasibility of three models for detecting hydronephrosis th...
The last two decades have witnessed an extraordinary evolution of automation and artificial intellig...
Existing soft robots face challenges given the need for an improved flexible robot elongation rate, ...